CINXE.COM

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Search results for: fuzzy logic controller</title> <meta name="description" content="Search results for: fuzzy logic controller"> <meta name="keywords" content="fuzzy logic controller"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="fuzzy logic controller" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="fuzzy logic controller"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1710</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: fuzzy logic controller</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1710</span> Maximum Power Point Tracking Using FLC Tuned with GA</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Amine%20Haraoubia">Mohamed Amine Haraoubia</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdelaziz%20Hamzaoui"> Abdelaziz Hamzaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=Najib%20Essounbouli"> Najib Essounbouli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The pursuit of the MPPT has led to the development of many kinds of controllers, one of which is the Fuzzy Logic Controller, which has proven its worth. To further tune this controller this paper will discuss and analyze the use of Genetic Algorithms to tune the Fuzzy Logic Controller. It will provide an introduction to both systems, and test their compatibility and performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller" title="fuzzy logic controller">fuzzy logic controller</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20power%20point" title=" maximum power point"> maximum power point</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20power%20point%20tracking" title=" maximum power point tracking"> maximum power point tracking</a> </p> <a href="https://publications.waset.org/abstracts/7055/maximum-power-point-tracking-using-flc-tuned-with-ga" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7055.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">373</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1709</span> Improving Ride Comfort of a Bus Using Fuzzy Logic Controlled Suspension</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mujde%20Turkkan">Mujde Turkkan</a>, <a href="https://publications.waset.org/abstracts/search?q=Nurkan%20Yagiz"> Nurkan Yagiz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study an active controller is presented for vibration suppression of a full-bus model. The bus is modelled having seven degrees of freedom. Using the achieved model via Lagrange Equations the system equations of motion are derived. The suspensions of the bus model include air springs with two auxiliary chambers are used. Fuzzy logic controller is used to improve the ride comfort. The numerical results, verifies that the presented fuzzy logic controller improves the ride comfort. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ride%20comfort" title="ride comfort">ride comfort</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20spring" title=" air spring"> air spring</a>, <a href="https://publications.waset.org/abstracts/search?q=bus" title=" bus"> bus</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller" title=" fuzzy logic controller"> fuzzy logic controller</a> </p> <a href="https://publications.waset.org/abstracts/3740/improving-ride-comfort-of-a-bus-using-fuzzy-logic-controlled-suspension" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3740.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">430</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1708</span> Fuzzy Logic Driven PID Controller for PWM Based Buck Converter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bandreddy%20Anand%20Babu">Bandreddy Anand Babu</a>, <a href="https://publications.waset.org/abstracts/search?q=Mandadi%20Srinivasa%20Rao"> Mandadi Srinivasa Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=Chintala%20Pradeep%20Reddy"> Chintala Pradeep Reddy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main theme of this paper is to design fuzzy logic Proportional Integral Derivative controller for controlling of Pulse Width Modulator (PWM) based DCDC buck converter in continuous conduction mode of operation and comparing the results of FPID and ANFIS. Simulation is done to fuzzy the given input variables and membership functions of input values, creating the interference rules linking the input and output variables and after then defuzzfies the output variables. Fuzzy logic is simple for nonlinear models like buck converter. Fuzzy logic based PID controller technique is to control, nonlinear plants like buck converters in switching variables of power electronics. The characteristics of FPID are in terms of rise time, settling time, rise time, steady state errors for different inputs and load disturbances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title="fuzzy logic">fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=PID%20controller" title=" PID controller"> PID controller</a>, <a href="https://publications.waset.org/abstracts/search?q=DC-DC%20buck%20converter" title=" DC-DC buck converter"> DC-DC buck converter</a>, <a href="https://publications.waset.org/abstracts/search?q=pulse%20width%20modulation" title=" pulse width modulation"> pulse width modulation</a> </p> <a href="https://publications.waset.org/abstracts/13742/fuzzy-logic-driven-pid-controller-for-pwm-based-buck-converter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13742.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1011</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1707</span> Fuzzy Logic Based Sliding Mode Controller for a New Soft Switching Boost Converter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Azam%20Salimi">Azam Salimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Majid%20Delshad"> Majid Delshad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a modified design of a sliding mode controller based on fuzzy logic for a New ZVThigh step up DC-DC Converter . Here a proportional - integral (PI)-type current mode control is employed and a sliding mode controller is designed utilizing fuzzy algorithm. Sliding mode controller guarantees robustness against all variations and fuzzy logic helps to reduce chattering phenomenon due to sliding controller, in that way efficiency increases and error, voltage and current ripples decreases. The proposed system is simulated using MATLAB / SIMULINK. This model is tested under variations of input and reference voltages and it was found that in comparison with conventional sliding mode controllers they perform better. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=switching%20mode%20power%20supplies" title="switching mode power supplies">switching mode power supplies</a>, <a href="https://publications.waset.org/abstracts/search?q=DC-DC%20converters" title=" DC-DC converters"> DC-DC converters</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode%20control" title=" sliding mode control"> sliding mode control</a>, <a href="https://publications.waset.org/abstracts/search?q=robustness" title=" robustness"> robustness</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20control" title=" fuzzy control"> fuzzy control</a>, <a href="https://publications.waset.org/abstracts/search?q=current%20mode%20control" title=" current mode control"> current mode control</a>, <a href="https://publications.waset.org/abstracts/search?q=non-linear%20behavior" title=" non-linear behavior"> non-linear behavior</a> </p> <a href="https://publications.waset.org/abstracts/28763/fuzzy-logic-based-sliding-mode-controller-for-a-new-soft-switching-boost-converter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28763.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">538</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1706</span> Comparative Study between Classical P-Q Method and Modern Fuzzy Controller Method to Improve the Power Quality of an Electrical Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Morsli">A. Morsli</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Tlem%C3%A7ani"> A. Tlemçani</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Ould%20Cherchali"> N. Ould Cherchali</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20S.%20Boucherit"> M. S. Boucherit </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article presents two methods for the compensation of harmonics generated by a nonlinear load. The first is the classic method P-Q. The second is the controller by modern method of artificial intelligence specifically fuzzy logic. Both methods are applied to an Active Power Filter shunt (APFs) based on a three-phase voltage converter at five levels NPC topology. In calculating the harmonic currents of reference, we use the algorithm P-Q and pulse generation, we use the intersective PWM. For flexibility and dynamics, we use fuzzy logic. The results give us clear that the rate of Harmonic Distortion issued by fuzzy logic is better than P-Q. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller" title="fuzzy logic controller">fuzzy logic controller</a>, <a href="https://publications.waset.org/abstracts/search?q=P-Q%20method" title=" P-Q method"> P-Q method</a>, <a href="https://publications.waset.org/abstracts/search?q=pulse%20width%0D%0Amodulation%20%28PWM%29" title=" pulse width modulation (PWM)"> pulse width modulation (PWM)</a>, <a href="https://publications.waset.org/abstracts/search?q=shunt%20active%20power%20filter%20%28sAPF%29" title=" shunt active power filter (sAPF)"> shunt active power filter (sAPF)</a>, <a href="https://publications.waset.org/abstracts/search?q=total%20harmonic%20distortion%20%28THD%29" title=" total harmonic distortion (THD)"> total harmonic distortion (THD)</a> </p> <a href="https://publications.waset.org/abstracts/28814/comparative-study-between-classical-p-q-method-and-modern-fuzzy-controller-method-to-improve-the-power-quality-of-an-electrical-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28814.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">548</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1705</span> Implementation of a Paraconsistent-Fuzzy Digital PID Controller in a Level Control Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20M.%20C%C3%B4rtes">H. M. Côrtes</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20I.%20Da%20Silva%20Filho"> J. I. Da Silva Filho</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20F.%20Blos"> M. F. Blos</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20S.%20Zanon"> B. S. Zanon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In a modern society the factor corresponding to the increase in the level of quality in industrial production demand new techniques of control and machinery automation. In this context, this work presents the implementation of a Paraconsistent-Fuzzy Digital PID controller. The controller is based on the treatment of inconsistencies both in the Paraconsistent Logic and in the Fuzzy Logic. Paraconsistent analysis is performed on the signals applied to the system inputs using concepts from the Paraconsistent Annotated Logic with annotation of two values (PAL2v). The signals resulting from the paraconsistent analysis are two values defined as Dc - Degree of Certainty and Dct - Degree of Contradiction, which receive a treatment according to the Fuzzy Logic theory, and the resulting output of the logic actions is a single value called the <em>crisp value</em>, which is used to control dynamic system. Through an example, it was demonstrated the application of the proposed model. Initially, the Paraconsistent-Fuzzy Digital PID controller was built and tested in an isolated MATLAB environment and then compared to the equivalent Digital PID function of this software for standard step excitation. After this step, a level control plant was modeled to execute the controller function on a physical model, making the tests closer to the actual. For this, the control parameters (proportional, integral and derivative) were determined for the configuration of the conventional Digital PID controller and of the Paraconsistent-Fuzzy Digital PID, and the control meshes in MATLAB were assembled with the respective transfer function of the plant. Finally, the results of the comparison of the level control process between the Paraconsistent-Fuzzy Digital PID controller and the conventional Digital PID controller were presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title="fuzzy logic">fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=paraconsistent%20annotated%20logic" title=" paraconsistent annotated logic"> paraconsistent annotated logic</a>, <a href="https://publications.waset.org/abstracts/search?q=level%20control" title=" level control"> level control</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20PID" title=" digital PID"> digital PID</a> </p> <a href="https://publications.waset.org/abstracts/71310/implementation-of-a-paraconsistent-fuzzy-digital-pid-controller-in-a-level-control-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71310.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">284</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1704</span> Modelling and Control of Electrohydraulic System Using Fuzzy Logic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hajara%20Abdulkarim%20Aliyu">Hajara Abdulkarim Aliyu</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdulbasid%20Ismail%20Isa"> Abdulbasid Ismail Isa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research paper studies electrohydraulic system for its role in position and motion control system and develops as mathematical model describing the behaviour of the system. The research further proposes Fuzzy logic and conventional PID controllers in order to achieve both accurate positioning of the payload and overall improvement of the system performance. The simulation result shows Fuzzy logic controller has a superior tracking performance and high disturbance rejection efficiency for its shorter settling time, less overshoot, smaller values of integral of absolute and deviation errors over the conventional PID controller at all the testing conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electrohydraulic" title="electrohydraulic">electrohydraulic</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling" title=" modelling"> modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=NZ-PID" title=" NZ-PID"> NZ-PID</a> </p> <a href="https://publications.waset.org/abstracts/46295/modelling-and-control-of-electrohydraulic-system-using-fuzzy-logic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46295.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">470</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1703</span> Active Power Control of PEM Fuel Cell System Power Generation Using Adaptive Neuro-Fuzzy Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Mammar">Khaled Mammar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an application of adaptive neuro-fuzzy controller for PEM fuel cell system. The model proposed for control include a fuel cell stack model, reformer model and DC/AC inverter model. Furthermore, a Fuzzy Logic (FLC) and adaptive neuro-fuzzy controllers are used to control the active power of PEM fuel cell system. The controllers modify the hydrogen flow feedback from the terminal load. The validity of the controller is verified when the fuel cell system model is used in conjunction with the ANFIS controller to predict the response of the active power. Simulation results confirmed the high-performance capability of the neuo-fuzzy to control power generation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuel%20cell" title="fuel cell">fuel cell</a>, <a href="https://publications.waset.org/abstracts/search?q=PEMFC" title=" PEMFC"> PEMFC</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=Fuzzy%20Logic%20Controller" title=" Fuzzy Logic Controller"> Fuzzy Logic Controller</a>, <a href="https://publications.waset.org/abstracts/search?q=FLC" title=" FLC"> FLC</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20neuro-fuzzy%20controller" title=" adaptive neuro-fuzzy controller"> adaptive neuro-fuzzy controller</a>, <a href="https://publications.waset.org/abstracts/search?q=ANFIS" title=" ANFIS"> ANFIS</a> </p> <a href="https://publications.waset.org/abstracts/30876/active-power-control-of-pem-fuel-cell-system-power-generation-using-adaptive-neuro-fuzzy-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30876.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">459</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1702</span> Design and Simulation of Unified Power Quality Conditioner based on Adaptive Fuzzy PI Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Brahim%20Ferdi">Brahim Ferdi</a>, <a href="https://publications.waset.org/abstracts/search?q=Samira%20Dib"> Samira Dib</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The unified power quality conditioner (UPQC), a combination of shunt and series active power filter, is one of the best solutions towards the mitigation of voltage and current harmonics problems in distribution power system. PI controller is very common in the control of UPQC. However, one disadvantage of this conventional controller is the difficulty in tuning its gains (Kp and Ki). To overcome this problem, an adaptive fuzzy logic PI controller is proposed. The controller is composed of fuzzy controller and PI controller. According to the error and error rate of the control system and fuzzy control rules, the fuzzy controller can online adjust the two gains of the PI controller to get better performance of UPQC. Simulations using MATLAB/SIMULINK are carried out to verify the performance of the proposed controller. The results show that the proposed controller has fast dynamic response and high accuracy of tracking the current and voltage references. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20fuzzy%20PI%20controller" title="adaptive fuzzy PI controller">adaptive fuzzy PI controller</a>, <a href="https://publications.waset.org/abstracts/search?q=current%20harmonics" title=" current harmonics"> current harmonics</a>, <a href="https://publications.waset.org/abstracts/search?q=PI%20controller" title=" PI controller"> PI controller</a>, <a href="https://publications.waset.org/abstracts/search?q=voltage%20harmonics" title=" voltage harmonics"> voltage harmonics</a>, <a href="https://publications.waset.org/abstracts/search?q=UPQC" title=" UPQC"> UPQC</a> </p> <a href="https://publications.waset.org/abstracts/16996/design-and-simulation-of-unified-power-quality-conditioner-based-on-adaptive-fuzzy-pi-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16996.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">556</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1701</span> A Sufficient Fuzzy Controller for Improving the Transient Response in Electric Motors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aliasghar%20Baziar">Aliasghar Baziar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20Masoumi"> Hassan Masoumi</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Ale%20Saadi"> Alireza Ale Saadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The control of the response of electric motors plays a significant role in the damping of transient responses. In this regard, this paper presents a static VAR compensator (SVC) based on a fuzzy logic which is applied to an industrial power network consisting of three phase synchronous, asynchronous and DC motor loads. The speed and acceleration variations of a specific machine are the inputs of the proposed fuzzy logic controller (FLC). In order to verify the effectiveness and proficiency of the proposed Fuzzy Logic based SVC (FLSVC), several non-linear time-domain digital simulation tests are performed. The proposed fuzzy model can properly control the response of electric motors. The results show that the FLSVC is successful to improve the voltage profile significantly over a wide range of operating conditions and disturbances thus improving the overall dynamic performance of the network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller" title="fuzzy logic controller">fuzzy logic controller</a>, <a href="https://publications.waset.org/abstracts/search?q=VAR%20compensator" title=" VAR compensator"> VAR compensator</a>, <a href="https://publications.waset.org/abstracts/search?q=single%20cage%20asynchronous%20motor" title=" single cage asynchronous motor"> single cage asynchronous motor</a>, <a href="https://publications.waset.org/abstracts/search?q=DC%20motor" title=" DC motor"> DC motor</a> </p> <a href="https://publications.waset.org/abstracts/53163/a-sufficient-fuzzy-controller-for-improving-the-transient-response-in-electric-motors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53163.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">628</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1700</span> Application of Fuzzy Logic to Design and Coordinate Parallel Behaviors for a Humanoid Mobile Robot</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nguyen%20Chan%20Hung">Nguyen Chan Hung</a>, <a href="https://publications.waset.org/abstracts/search?q=Mai%20Ngoc%20Anh"> Mai Ngoc Anh</a>, <a href="https://publications.waset.org/abstracts/search?q=Nguyen%20Xuan%20Ha"> Nguyen Xuan Ha</a>, <a href="https://publications.waset.org/abstracts/search?q=Tran%20Xuan%20Duc"> Tran Xuan Duc</a>, <a href="https://publications.waset.org/abstracts/search?q=Dang%20Bao%20Lam"> Dang Bao Lam</a>, <a href="https://publications.waset.org/abstracts/search?q=Nguyen%20Hoang%20Viet"> Nguyen Hoang Viet</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a design and implementation of a navigation controller for a humanoid mobile robot platform to operate in indoor office environments. In order to fulfil the requirement of recognizing and approaching human to provide service while avoiding random obstacles, a behavior-based fuzzy logic controller was designed to simultaneously coordinate multiple behaviors. Experiments in real office environment showed that the fuzzy controller deals well with complex scenarios without colliding with random objects and human. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavior%20control" title="behavior control">behavior control</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=humanoid%20robot" title=" humanoid robot"> humanoid robot</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20robot" title=" mobile robot"> mobile robot</a> </p> <a href="https://publications.waset.org/abstracts/67738/application-of-fuzzy-logic-to-design-and-coordinate-parallel-behaviors-for-a-humanoid-mobile-robot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67738.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">419</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1699</span> Fuzzy Logic and Control Strategies on a Sump</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasser%20Mohamed%20Ramli">Nasser Mohamed Ramli</a>, <a href="https://publications.waset.org/abstracts/search?q=Nurul%20Izzati%20Zulkifli"> Nurul Izzati Zulkifli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sump can be defined as a reservoir which contains slurry; a mixture of solid and liquid or water, in it. Sump system is an unsteady process owing to the level response. Sump level shall be monitored carefully by using a good controller to avoid overflow. The current conventional controllers would not be able to solve problems with large time delay and nonlinearities, Fuzzy Logic controller is tested to prove its ability in solving the listed problems of slurry sump. Therefore, in order to justify the effectiveness and reliability of these controllers, simulation of the sump system was created by using MATLAB and the results were compared. According to the result obtained, instead of Proportional-Integral (PI) and Proportional-Integral and Derivative (PID), Fuzzy Logic controller showed the best result by offering quick response of 0.32 s for step input and 5 s for pulse generator, by producing small Integral Absolute Error (IAE) values that are 0.66 and 0.36 respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy" title="fuzzy">fuzzy</a>, <a href="https://publications.waset.org/abstracts/search?q=sump" title=" sump"> sump</a>, <a href="https://publications.waset.org/abstracts/search?q=level" title=" level"> level</a>, <a href="https://publications.waset.org/abstracts/search?q=controller" title=" controller"> controller</a> </p> <a href="https://publications.waset.org/abstracts/75241/fuzzy-logic-and-control-strategies-on-a-sump" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75241.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">243</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1698</span> Design of Fuzzy Logic Based Global Power System Stabilizer for Dynamic Stability Enhancement in Multi-Machine Power System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20P.%20Patidar">N. P. Patidar</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Earnest"> J. Earnest</a>, <a href="https://publications.waset.org/abstracts/search?q=Laxmikant%20Nagar"> Laxmikant Nagar</a>, <a href="https://publications.waset.org/abstracts/search?q=Akshay%20Sharma"> Akshay Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes the diligence of a new input signal based fuzzy power system stabilizer in multi-machine power system. Instead of conventional input pairs like speed deviation (∆ω) and derivative of speed deviation i.e. acceleration (∆ω ̇) or speed deviation and accelerating power deviation of each machine, in this paper, deviation of active power through the tie line colligating two areas is used as one of the inputs to the fuzzy logic controller in concurrence with the speed deviation. Fuzzy Logic has the features of simple concept, easy effectuation, and computationally efficient. The advantage of this input is that, the same signal can be fed to each of the fuzzy logic controller connected with each machine. The simulated system comprises of two fully symmetrical areas coupled together by two 230 kV lines. Each area is equipped with two superposable generators rated 20 kV/900MVA and area-1 is exporting 413 MW to area-2. The effectiveness of the proposed control scheme has been assessed by performing small signal stability assessment and transient stability assessment. The proposed control scheme has been compared with a conventional PSS. Digital simulation is used to demonstrate the performance of fuzzy logic controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Power%20System%20Stabilizer%20%28PSS%29" title="Power System Stabilizer (PSS)">Power System Stabilizer (PSS)</a>, <a href="https://publications.waset.org/abstracts/search?q=small%20signal%20stability" title=" small signal stability"> small signal stability</a>, <a href="https://publications.waset.org/abstracts/search?q=inter-area%20oscillation" title=" inter-area oscillation"> inter-area oscillation</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller" title=" fuzzy logic controller"> fuzzy logic controller</a>, <a href="https://publications.waset.org/abstracts/search?q=membership%20function" title=" membership function"> membership function</a>, <a href="https://publications.waset.org/abstracts/search?q=rule%20base" title=" rule base"> rule base</a> </p> <a href="https://publications.waset.org/abstracts/16848/design-of-fuzzy-logic-based-global-power-system-stabilizer-for-dynamic-stability-enhancement-in-multi-machine-power-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16848.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">531</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1697</span> Lateral Control of Electric Vehicle Based on Fuzzy Logic Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hartani%20Kada">Hartani Kada</a>, <a href="https://publications.waset.org/abstracts/search?q=Merah%20Abdelkader"> Merah Abdelkader</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aiming at the high nonlinearities and unmatched uncertainties of the intelligent electric vehicles’ dynamic system, this paper presents a lateral motion control algorithm for intelligent electric vehicles with four in-wheel motors. A fuzzy logic procedure is presented and formulated to realize lateral control in lane change. The vehicle dynamics model and a desired target tracking model were established in this paper. A fuzzy logic controller was designed for integrated active front steering (AFS) and direct yaw moment control (DYC) in order to improve vehicle handling performance and stability, and a fuzzy controller for the automatic steering problem. The simulation results demonstrate the strong robustness and excellent tracking performance of the control algorithm that is proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title="fuzzy logic">fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=lateral%20control" title=" lateral control"> lateral control</a>, <a href="https://publications.waset.org/abstracts/search?q=AFS" title=" AFS"> AFS</a>, <a href="https://publications.waset.org/abstracts/search?q=DYC" title=" DYC"> DYC</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20car%20technology" title=" electric car technology"> electric car technology</a>, <a href="https://publications.waset.org/abstracts/search?q=longitudinal%20control" title=" longitudinal control"> longitudinal control</a>, <a href="https://publications.waset.org/abstracts/search?q=lateral%20motion" title=" lateral motion"> lateral motion</a> </p> <a href="https://publications.waset.org/abstracts/14474/lateral-control-of-electric-vehicle-based-on-fuzzy-logic-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14474.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">610</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1696</span> A Spiral Dynamic Optimised Hybrid Fuzzy Logic Controller for a Unicycle Mobile Robot on Irregular Terrains</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20M.%20Almeshal">Abdullah M. Almeshal</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20R.%20Alenezi"> Mohammad R. Alenezi</a>, <a href="https://publications.waset.org/abstracts/search?q=Talal%20H.%20Alzanki"> Talal H. Alzanki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a hybrid fuzzy logic control strategy for a unicycle trajectory following robot on irregular terrains. In literature, researchers have presented the design of path tracking controllers of mobile robots on non-frictional surface. In this work, the robot is simulated to drive on irregular terrains with contrasting frictional profiles of peat and rough gravel. A hybrid fuzzy logic controller is utilised to stabilise and drive the robot precisely with the predefined trajectory and overcome the frictional impact. The controller gains and scaling factors were optimised using spiral dynamics optimisation algorithm to minimise the mean square error of the linear and angular velocities of the unicycle robot. The robot was simulated on various frictional surfaces and terrains and the controller was able to stabilise the robot with a superior performance that is shown via simulation results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20control" title="fuzzy logic control">fuzzy logic control</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20robot" title=" mobile robot"> mobile robot</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20tracking" title=" trajectory tracking"> trajectory tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=spiral%20dynamic%20algorithm" title=" spiral dynamic algorithm "> spiral dynamic algorithm </a> </p> <a href="https://publications.waset.org/abstracts/15205/a-spiral-dynamic-optimised-hybrid-fuzzy-logic-controller-for-a-unicycle-mobile-robot-on-irregular-terrains" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15205.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">495</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1695</span> Maximum Power Point Tracking Using Fuzzy Logic Control for a Stand-Alone PV System with PI Controller for Battery Charging Based on Evolutionary Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20A.%20Moustafa%20Hassan">Mohamed A. Moustafa Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Omnia%20S%20.S.%20Hussian"> Omnia S .S. Hussian</a>, <a href="https://publications.waset.org/abstracts/search?q=Hany%20M.%20Elsaved"> Hany M. Elsaved</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces the application of Fuzzy Logic Controller (FLC) to extract the Maximum Power Point Tracking (MPPT) from the PV panel. In addition, the proportional integral (PI) controller is used to be the strategy for battery charge control according to acceptable performance criteria. The parameters of the PI controller have been tuned via Modified Adaptive Accelerated Coefficient Particle Swarm Optimization (MAACPSO) technique. The simulation results, using MATLAB/Simulink tools, show that the FLC technique has advantages for use in the MPPT problem, as it provides a fast response under changes in environmental conditions such as radiation and temperature. In addition, the use of PI controller based on MAACPSO results in a good performance in terms of controlling battery charging with constant voltage and current to execute rapid charging. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery%20charging" title="battery charging">battery charging</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20control" title=" fuzzy logic control"> fuzzy logic control</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20power%20point%20tracking" title=" maximum power point tracking"> maximum power point tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=PV%20system" title=" PV system"> PV system</a>, <a href="https://publications.waset.org/abstracts/search?q=PI%20controller" title=" PI controller"> PI controller</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20technique" title=" evolutionary technique"> evolutionary technique</a> </p> <a href="https://publications.waset.org/abstracts/109686/maximum-power-point-tracking-using-fuzzy-logic-control-for-a-stand-alone-pv-system-with-pi-controller-for-battery-charging-based-on-evolutionary-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109686.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1694</span> Power Quality Improvement Using Interval Type-2 Fuzzy Logic Controller for Five-Level Shunt Active Power Filter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yousfi%20Abdelkader">Yousfi Abdelkader</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaker%20Abdelkader"> Chaker Abdelkader</a>, <a href="https://publications.waset.org/abstracts/search?q=Bot%20Youcef"> Bot Youcef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article proposes a five-level shunt active power filter for power quality improvement using a interval type-2 fuzzy logic controller (IT2 FLC). The reference compensating current is extracted using the P-Q theory. The majority of works previously reported are based on two-level inverters with a conventional Proportional integral (PI) controller, which requires rigorous mathematical modeling of the system. In this paper, a IT2 FLC controlled five-level active power filter is proposed to overcome the problem associated with PI controller. The IT2 FLC algorithm is applied for controlling the DC-side capacitor voltage as well as the harmonic currents of the five-level active power filter. The active power filter with a IT2 FLC is simulated in MATLAB Simulink environment. The simulated response shows that the proposed shunt active power filter controller has produced a sinusoidal supply current with low harmonic distortion and in phase with the source voltage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20quality" title="power quality">power quality</a>, <a href="https://publications.waset.org/abstracts/search?q=shunt%20active%20power%20filter" title=" shunt active power filter"> shunt active power filter</a>, <a href="https://publications.waset.org/abstracts/search?q=interval%20type-2%20fuzzy%20logic%20controller%20%28T2FL%29" title=" interval type-2 fuzzy logic controller (T2FL)"> interval type-2 fuzzy logic controller (T2FL)</a>, <a href="https://publications.waset.org/abstracts/search?q=multilevel%20inverter" title=" multilevel inverter"> multilevel inverter</a> </p> <a href="https://publications.waset.org/abstracts/117014/power-quality-improvement-using-interval-type-2-fuzzy-logic-controller-for-five-level-shunt-active-power-filter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/117014.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">178</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1693</span> Modelling for Temperature Non-Isothermal Continuous Stirred Tank Reactor Using Fuzzy Logic </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasser%20Mohamed%20Ramli">Nasser Mohamed Ramli</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamad%20Syafiq%20Mohamad"> Mohamad Syafiq Mohamad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many types of controllers were applied on the continuous stirred tank reactor (CSTR) unit to control the temperature. In this research paper, Proportional-Integral-Derivative (PID) controller are compared with Fuzzy Logic controller for temperature control of CSTR. The control system for temperature non-isothermal of a CSTR will produce a stable response curve to its set point temperature. A mathematical model of a CSTR using the most general operating condition was developed through a set of differential equations into S-function using MATLAB. The reactor model and S-function are developed using m.file. After developing the S-function of CSTR model, User-Defined functions are used to link to SIMULINK file. Results that are obtained from simulation and temperature control were better when using Fuzzy logic control compared to PID control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CSTR" title="CSTR">CSTR</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature" title=" temperature"> temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=PID" title=" PID"> PID</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a> </p> <a href="https://publications.waset.org/abstracts/56171/modelling-for-temperature-non-isothermal-continuous-stirred-tank-reactor-using-fuzzy-logic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56171.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">457</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1692</span> Enhancement of MIMO H₂S Gas Sweetening Separator Tower Using Fuzzy Logic Controller Array </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20M.%20A.%20S.%20Mahmoud">Muhammad M. A. S. Mahmoud</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Natural gas sweetening process is a controlled process that must be done at maximum efficiency and with the highest quality. In this work, due to complexity and non-linearity of the process, the H₂S gas separation and the intelligent fuzzy controller, which is used to enhance the process, are simulated in MATLAB – Simulink. The new design of fuzzy control for Gas Separator is discussed in this paper. The design is based on the utilization of linear state-estimation to generate the internal knowledge-base that stores input-output pairs. The obtained input/output pairs are then used to design a feedback fuzzy controller. The proposed closed-loop fuzzy control system maintains the system asymptotically-stability while it enhances the system time response to achieve better control of the concentration of the output gas from the tower. Simulation studies are carried out to illustrate the Gas Separator system performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gas%20separator" title="gas separator">gas separator</a>, <a href="https://publications.waset.org/abstracts/search?q=gas%20sweetening" title=" gas sweetening"> gas sweetening</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20controller" title=" intelligent controller"> intelligent controller</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20control" title=" fuzzy control"> fuzzy control</a> </p> <a href="https://publications.waset.org/abstracts/36514/enhancement-of-mimo-h2s-gas-sweetening-separator-tower-using-fuzzy-logic-controller-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36514.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">471</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1691</span> Optimal Tuning of a Fuzzy Immune PID Parameters to Control a Delayed System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Gherbi">S. Gherbi</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Bouchareb"> F. Bouchareb</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with the novel intelligent bio-inspired control strategies, it presents a novel approach based on an optimal fuzzy immune PID parameters tuning, it is a combination of a PID controller, inspired by the human immune mechanism with fuzzy logic. Such controller offers more possibilities to deal with the delayed systems control difficulties due to the delay term. Indeed, we use an optimization approach to tune the four parameters of the controller in addition to the fuzzy function; the obtained controller is implemented in a modified Smith predictor structure, which is well known that it is the most efficient to the control of delayed systems. The application of the presented approach to control a three tank delay system shows good performances and proves the efficiency of the method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=delayed%20systems" title="delayed systems">delayed systems</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20immune%20PID" title=" fuzzy immune PID"> fuzzy immune PID</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=Smith%20predictor" title=" Smith predictor"> Smith predictor</a> </p> <a href="https://publications.waset.org/abstracts/10235/optimal-tuning-of-a-fuzzy-immune-pid-parameters-to-control-a-delayed-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10235.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">433</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1690</span> Fuzzy Logic Control for Flexible Joint Manipulator: An Experimental Implementation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sophia%20Fry">Sophia Fry</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahir%20Irtiza"> Mahir Irtiza</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexa%20Hoffman"> Alexa Hoffman</a>, <a href="https://publications.waset.org/abstracts/search?q=Yousef%20Sardahi"> Yousef Sardahi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents an intelligent control algorithm for a flexible robotic arm. Fuzzy control is used to control the motion of the arm to maintain the arm tip at the desired position while reducing vibration and increasing the system speed of response. The Fuzzy controller (FC) is based on adding the tip angular position to the arm deflection angle and using their sum as a feedback signal to the control algorithm. This reduces the complexity of the FC in terms of the input variables, number of membership functions, fuzzy rules, and control structure. Also, the design of the fuzzy controller is model-free and uses only our knowledge about the system. To show the efficacy of the FC, the control algorithm is implemented on the flexible joint manipulator (FJM) developed by Quanser. The results show that the proposed control method is effective in terms of response time, overshoot, and vibration amplitude. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20control" title="fuzzy logic control">fuzzy logic control</a>, <a href="https://publications.waset.org/abstracts/search?q=model-free%20control" title=" model-free control"> model-free control</a>, <a href="https://publications.waset.org/abstracts/search?q=flexible%20joint%20manipulators" title=" flexible joint manipulators"> flexible joint manipulators</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20control" title=" nonlinear control"> nonlinear control</a> </p> <a href="https://publications.waset.org/abstracts/164512/fuzzy-logic-control-for-flexible-joint-manipulator-an-experimental-implementation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164512.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">118</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1689</span> Fuzzy and Fuzzy-PI Controller for Rotor Speed of Gas Turbine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mandar%20Ghodekar">Mandar Ghodekar</a>, <a href="https://publications.waset.org/abstracts/search?q=Sharad%20Jadhav"> Sharad Jadhav</a>, <a href="https://publications.waset.org/abstracts/search?q=Sangram%20Jadhav"> Sangram Jadhav</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Speed control of rotor during startup and under varying load conditions is one of the most difficult tasks of gas turbine operation. In this paper, power plant gas turbine (GE9001E) is considered for this purpose and fuzzy and fuzzy-PI rotor speed controllers are designed. The goal of the presented controllers is to keep the turbine rotor speed within predefined limits during startup condition as well as during operating condition. The fuzzy controller and fuzzy-PI controller are designed using Takagi-Sugeno method and Mamdani method, respectively. In applying the fuzzy-PI control to a gas-turbine plant, the tuning parameters (Kp and Ki) are modified online by fuzzy logic approach. Error and rate of change of error are inputs and change in fuel flow is output for both the controllers. Hence, rotor speed of gas turbine is controlled by modifying the fuel flow. The identified linear ARX model of gas turbine is considered while designing the controllers. For simulations, demand power is taken as disturbance input. It is assumed that inlet guide vane (IGV) position is fixed. In addition, the constraint on the fuel flow is taken into account. The performance of the presented controllers is compared with each other as well as with H∞ robust and MPC controllers for the same operating conditions in simulations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gas%20turbine" title="gas turbine">gas turbine</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20controller" title=" fuzzy controller"> fuzzy controller</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20PI%20controller" title=" fuzzy PI controller"> fuzzy PI controller</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20plant" title=" power plant"> power plant</a> </p> <a href="https://publications.waset.org/abstracts/41546/fuzzy-and-fuzzy-pi-controller-for-rotor-speed-of-gas-turbine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41546.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">334</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1688</span> Fuzzy-Sliding Controller Design for Induction Motor Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Bouferhane">M. Bouferhane</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Boukhebza"> A. Boukhebza</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Hatab"> L. Hatab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the position control of linear induction motor using fuzzy sliding mode controller design is proposed. First, the indirect field oriented control LIM is derived. Then, a designed sliding mode control system with an integral-operation switching surface is investigated, in which a simple adaptive algorithm is utilized for generalised soft-switching parameter. Finally, a fuzzy sliding mode controller is derived to compensate the uncertainties which occur in the control, in which the fuzzy logic system is used to dynamically control parameter settings of the SMC control law. The effectiveness of the proposed control scheme is verified by numerical simulation. The experimental results of the proposed scheme have presented good performances compared to the conventional sliding mode controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=linear%20induction%20motor" title="linear induction motor">linear induction motor</a>, <a href="https://publications.waset.org/abstracts/search?q=vector%20control" title=" vector control"> vector control</a>, <a href="https://publications.waset.org/abstracts/search?q=backstepping" title=" backstepping"> backstepping</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy-sliding%20mode%20control" title=" fuzzy-sliding mode control"> fuzzy-sliding mode control</a> </p> <a href="https://publications.waset.org/abstracts/44272/fuzzy-sliding-controller-design-for-induction-motor-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44272.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">489</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1687</span> Mathematical and Fuzzy Logic in the Interpretation of the Quran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Morteza%20Khorrami">Morteza Khorrami</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The logic as an intellectual infrastructure plays an essential role in the Islamic sciences. Hence, there are a few of the verses of the Holy Quran that their interpretation is not possible due to lack of proper logic. In many verses in the Quran, argument and the respondent has requested from the audience that shows the logic rule is in the Quran. The paper which use a descriptive and analytic method, tries to show the role of logic in understanding of the Quran reasoning methods and display some of Quranic statements with mathematical symbols and point that we can help these symbols for interesting and interpretation and answering to some questions and doubts. In this paper, this problem has been mentioned that the Quran did not use two-valued logic (Aristotelian) in all cases, but the fuzzy logic can also be searched in the Quran. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aristotelian%20logic" title="aristotelian logic">aristotelian logic</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=interpretation" title=" interpretation"> interpretation</a>, <a href="https://publications.waset.org/abstracts/search?q=Holy%20Quran" title=" Holy Quran"> Holy Quran</a> </p> <a href="https://publications.waset.org/abstracts/37444/mathematical-and-fuzzy-logic-in-the-interpretation-of-the-quran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37444.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">675</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1686</span> Study of Two MPPTs for Photovoltaic Systems Using Controllers Based in Fuzzy Logic and Sliding Mode</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Ould%20cherchali">N. Ould cherchali</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20S.%20Boucherit"> M. S. Boucherit</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Barazane"> L. Barazane</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Morsli"> A. Morsli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Photovoltaic power is widely used to supply isolated or unpopulated areas (lighting, pumping, etc.). Great advantage is that this source is inexhaustible, it offers great safety in use and it is clean. But the dynamic models used to describe a photovoltaic system are complicated and nonlinear and due to nonlinear I-V and P–V characteristics of photovoltaic generators, a maximum power point tracking technique (MPPT) is required to maximize the output power. In this paper, two online techniques of maximum power point tracking using robust controller for photovoltaic systems are proposed, the first technique use fuzzy logic controller (FLC) and the second use sliding mode controller (SMC) for photovoltaic systems. The two maximum power point tracking controllers receive the partial derivative of power as inputs, and the output is the duty cycle corresponding to maximum power. A Photovoltaic generator with Boost converter is developed using MATLAB/Simulink to verify the preferences of the proposed techniques. SMC technique provides a good tracking speed in fast changing irradiation and when the irradiation changes slowly or is constant the panel power of FLC technique presents a much smoother signal with less fluctuations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller" title="fuzzy logic controller">fuzzy logic controller</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20power%20point" title=" maximum power point"> maximum power point</a>, <a href="https://publications.waset.org/abstracts/search?q=photovoltaic%20system" title=" photovoltaic system"> photovoltaic system</a>, <a href="https://publications.waset.org/abstracts/search?q=tracker" title=" tracker"> tracker</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode%20controller" title=" sliding mode controller"> sliding mode controller</a> </p> <a href="https://publications.waset.org/abstracts/28767/study-of-two-mppts-for-photovoltaic-systems-using-controllers-based-in-fuzzy-logic-and-sliding-mode" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28767.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">547</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1685</span> Control of Single Axis Magnetic Levitation System Using Fuzzy Logic Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20M.%20Benomair">A. M. Benomair</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20O.%20Tokhi"> M. O. Tokhi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the investigation on a system model for the stabilization of a Magnetic Levitation System (Maglev’s). The magnetic levitation system is a challenging nonlinear mechatronic system in which an electromagnetic force is required to suspend an object (metal sphere) in air space. The electromagnetic force is very sensitive to the noise which can create acceleration forces on the metal sphere, causing the sphere to move into the unbalanced region. Maglev’s give the contribution in industry and this system has reduce the power consumption, has increase the power efficiency and reduce the cost maintenance. The common applications for Maglev’s Power Generation (e.g. wind turbine), Maglev’s trains and Medical Device (e.g. Magnetically suspended Artificial Heart Pump). This paper presents the comparison between dynamic response and robust characteristic for both conventional PD and Fuzzy PD controller. The main contribution of this paper is the proof of fuzzy PD type stabilization and robustness. By use of a method to tune the scaling factors of the linear PD type fuzzy controller from an equivalent tuned conventional PD. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=magnetic%20levitation%20system" title="magnetic levitation system">magnetic levitation system</a>, <a href="https://publications.waset.org/abstracts/search?q=PD%20controller" title=" PD controller"> PD controller</a>, <a href="https://publications.waset.org/abstracts/search?q=Fuzzy%20Logic%20Control" title=" Fuzzy Logic Control"> Fuzzy Logic Control</a>, <a href="https://publications.waset.org/abstracts/search?q=Fuzzy%20PD" title=" Fuzzy PD"> Fuzzy PD</a> </p> <a href="https://publications.waset.org/abstracts/19255/control-of-single-axis-magnetic-levitation-system-using-fuzzy-logic-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19255.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">273</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1684</span> Speed Ratio Control of Pulley Based V-Belt Type Continuously Variable Transmission (CVT) using Fuzzy Logic Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ikbal%20Eski">Ikbal Eski</a>, <a href="https://publications.waset.org/abstracts/search?q=Turan%20G%C3%BCrgen%C3%A7"> Turan Gürgenç</a> </p> <p class="card-text"><strong>Abstract:</strong></p> After nearly more than a century of research and development, internal combustion engines have become almost perfect. Along with such improvement in internal combustion engines, automotive manufacturers are conducting research on design of alternative fuel vehicles. Nevertheless an ideal interim solution is to increase overall efficiency of internal combustion vehicles. A potential solution to achieve that is using continuously variable transmission system which, despite being an old idea, has recently become a hope for automotive manufacturers. CVT system, by continuously varying speed ratio, raises vehicle efficiency. In this study, fuzzy logic controller is used in speed ratio control of pulley based CVT system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=continuously%20variable%20transmission%20system" title="continuously variable transmission system">continuously variable transmission system</a>, <a href="https://publications.waset.org/abstracts/search?q=variator" title=" variator"> variator</a>, <a href="https://publications.waset.org/abstracts/search?q=speed%20ratio" title=" speed ratio"> speed ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a> </p> <a href="https://publications.waset.org/abstracts/12134/speed-ratio-control-of-pulley-based-v-belt-type-continuously-variable-transmission-cvt-using-fuzzy-logic-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12134.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">285</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1683</span> Implementation and Design of Fuzzy Controller for High Performance Dc-Dc Boost Converters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Mansouri">A. Mansouri</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Krim"> F. Krim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses the implementation and design of both linear PI and fuzzy controllers for DC-DC boost converters. Design of PI controllers is based on temporal response of closed-loop converters, while fuzzy controllers design is based on heuristic knowledge of boost converters. Linear controller implementation is quite straightforward relying on mathematical models, while fuzzy controller implementation employs one or more artificial intelligences techniques. Comparison between these boost controllers is made in design aspect. Experimental results show that the proposed fuzzy controller system is robust against input voltage and load resistance changing and in respect of start-up transient. Results indicate that fuzzy controller can achieve best control performance concerning faster transient response, steady-state response good stability and accuracy under different operating conditions. Fuzzy controller is more suitable to control boost converters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=boost%20DC-DC%20converter" title="boost DC-DC converter">boost DC-DC converter</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy" title=" fuzzy"> fuzzy</a>, <a href="https://publications.waset.org/abstracts/search?q=PI%20controllers" title=" PI controllers"> PI controllers</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20electronics%20and%20control%20system" title=" power electronics and control system "> power electronics and control system </a> </p> <a href="https://publications.waset.org/abstracts/25094/implementation-and-design-of-fuzzy-controller-for-high-performance-dc-dc-boost-converters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25094.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">475</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1682</span> Comparison Between Fuzzy and P&O Control for MPPT for Photovoltaic System Using Boost Converter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Doumi">M. Doumi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Miloudi"> A. Miloudi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20G.%20Aissaoui"> A. G. Aissaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Tahir"> K. Tahir</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Belfedal"> C. Belfedal</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Tahir"> S. Tahir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The studies on the photovoltaic system are extensively increasing because of a large, secure, essentially exhaustible and broadly available resource as a future energy supply. However, the output power induced in the photovoltaic modules is influenced by an intensity of solar cell radiation, temperature of the solar cells and so on. Therefore, to maximize the efficiency of the photovoltaic system, it is necessary to track the maximum power point of the PV array, for this Maximum Power Point Tracking (MPPT) technique is used. Some MPPT techniques are available in that perturbation and observation (P&O) and Fuzzy logic controller (FLC). The fuzzy control method has been compared with perturb and observe (P&O) method as one of the most widely conventional method used in this area. Both techniques have been analyzed and simulated. MPPT using fuzzy logic shows superior performance and more reliable control with respect to the P&O technique for this application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=photovoltaic%20system" title="photovoltaic system">photovoltaic system</a>, <a href="https://publications.waset.org/abstracts/search?q=MPPT" title=" MPPT"> MPPT</a>, <a href="https://publications.waset.org/abstracts/search?q=perturb%20and%20observe" title=" perturb and observe"> perturb and observe</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a> </p> <a href="https://publications.waset.org/abstracts/13347/comparison-between-fuzzy-and-po-control-for-mppt-for-photovoltaic-system-using-boost-converter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13347.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">604</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1681</span> Improvement of Direct Torque and Flux Control of Dual Stator Induction Motor Drive Using Intelligent Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kouzi%20Katia">Kouzi Katia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a Direct Torque Control (DTC) algorithm of dual Stator Induction Motor (DSIM) drive using two approach intelligent techniques: Artificial Neural Network (ANN) approach replaces the switching table selector block of conventional DTC and Mamdani Fuzzy Logic controller (FLC) is used for stator resistance estimation. The fuzzy estimation method is based on an online stator resistance correction through the variations of stator current estimation error and its variation. The fuzzy logic controller gives the future stator resistance increment at the output. The main advantage of suggested algorithm control is to reduce the hardware complexity of conventional selectors, to avoid the drive instability that may occur in certain situation and ensure the tracking of the actual of the stator resistance. The effectiveness of the technique and the improvement of the whole system performance are proved by results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=direct%20torque%20control" title=" direct torque control"> direct torque control</a>, <a href="https://publications.waset.org/abstracts/search?q=dual%20stator%20induction%20motor" title=" dual stator induction motor"> dual stator induction motor</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20estimator" title=" fuzzy logic estimator"> fuzzy logic estimator</a>, <a href="https://publications.waset.org/abstracts/search?q=switching%20table" title=" switching table"> switching table</a> </p> <a href="https://publications.waset.org/abstracts/47167/improvement-of-direct-torque-and-flux-control-of-dual-stator-induction-motor-drive-using-intelligent-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47167.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">345</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=8">8</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=9">9</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=10">10</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=56">56</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=57">57</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20controller&page=2" rel="next">&rsaquo;</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>