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control ontology</title> <meta name="description" content="Search results for: fuzzy logic control ontology"> <meta name="keywords" content="fuzzy logic control ontology"> <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 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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 control ontology"> <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> 11787</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: fuzzy logic control ontology</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11787</span> Development of Fuzzy Logic Control Ontology for E-Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Sollehhuddin%20A.%20Jalil">Muhammad Sollehhuddin A. Jalil</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Ibrahim%20Shapiai"> Mohd Ibrahim Shapiai</a>, <a href="https://publications.waset.org/abstracts/search?q=Rubiyah%20Yusof"> Rubiyah Yusof</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, ontology is common in many areas like artificial intelligence, bioinformatics, e-commerce, education and many more. Ontology is one of the focus areas in the field of Information Retrieval. The purpose of an ontology is to describe a conceptual representation of concepts and their relationships within a particular domain. In other words, ontology provides a common vocabulary for anyone who needs to share information in the domain. There are several ontology domains in various fields including engineering and non-engineering knowledge. However, there are only a few available ontology for engineering knowledge. Fuzzy logic as engineering knowledge is still not available as ontology domain. In general, fuzzy logic requires step-by-step guidelines and instructions of lab experiments. In this study, we presented domain ontology for Fuzzy Logic Control (FLC) knowledge. We give Table of Content (ToC) with middle strategy based on the Uschold and King method to develop FLC ontology. The proposed framework is developed using Protégé as the ontology tool. The Protégé’s ontology reasoner, known as the Pellet reasoner is then used to validate the presented framework. The presented framework offers better performance based on consistency and classification parameter index. In general, this ontology can provide a platform to anyone who needs to understand FLC knowledge. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=engineering%20knowledge" title="engineering knowledge">engineering knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20control%20ontology" title=" fuzzy logic control ontology"> fuzzy logic control ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=ontology%20development" title=" ontology development"> ontology development</a>, <a href="https://publications.waset.org/abstracts/search?q=table%20of%20content" title=" table of content"> table of content</a> </p> <a href="https://publications.waset.org/abstracts/54717/development-of-fuzzy-logic-control-ontology-for-e-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54717.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">299</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">11786</span> Application of Fuzzy Logic in Voltage Regulation of Radial Feeder with Distributed Generators</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anubhav%20Shrivastava">Anubhav Shrivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Lakshya%20Bhat"> Lakshya Bhat</a>, <a href="https://publications.waset.org/abstracts/search?q=Shivarudraswamy"> Shivarudraswamy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Distributed Generation is the need of the hour. With current advancements in the DG technology, there are some major issues that need to be tackled in order to make this method of generation of energy more efficient and feasible. Among other problems, the control in voltage is the major issue that needs to be addressed. This paper focuses on control of voltage using reactive power control of DGs with the help of fuzzy logic. The membership functions have been defined accordingly and the control of the system is achieved. Finally, with the help of simulation results in Matlab, the control of voltage within the tolerance limit set (+/- 5%) is achieved. The voltage waveform graphs for the IEEE 14 bus system are obtained by using simple algorithm with MATLAB and then with fuzzy logic for 14 bus system. The goal of this project was to control the voltage within limits by controlling the reactive power of the DG using fuzzy logic. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distributed%20generation" title="distributed generation">distributed generation</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=matlab" title=" matlab"> matlab</a>, <a href="https://publications.waset.org/abstracts/search?q=newton%20raphson" title=" newton raphson"> newton raphson</a>, <a href="https://publications.waset.org/abstracts/search?q=IEEE%2014%20bus" title=" IEEE 14 bus"> IEEE 14 bus</a>, <a href="https://publications.waset.org/abstracts/search?q=voltage%20regulation" title=" voltage regulation"> voltage regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=radial%20network" title=" radial network"> radial network</a> </p> <a href="https://publications.waset.org/abstracts/31759/application-of-fuzzy-logic-in-voltage-regulation-of-radial-feeder-with-distributed-generators" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31759.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">637</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">11785</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">11784</span> Control of Hybrid System Using Fuzzy Logic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Faiza%20Mahi">Faiza Mahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatima%20Debbat"> Fatima Debbat</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Fay%C3%A7al%20Khelfi"> Mohamed Fayçal Khelfi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a control approach using Fuzzy Lo system. More precisely, the study focuses on the improvement of users service in terms of analysis and control of a transportation system their waiting times in the exchange platforms of passengers. Many studies have been developed in the literature for such problematic, and many control tools are proposed. In this paper we focus on the use of fuzzy logic technique to control the system during its evolution in order to minimize the arrival gap of connected transportation means at the exchange points of passengers. An example of illustration is worked out and the obtained results are reported. an important area of research is the modeling and simulation ordering system. We describe an approach to analysis using Fuzzy Logic. The hybrid simulator developed in toolbox Matlab consists calculation of waiting time transportation mode. <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=Hybrid%20system" title=" Hybrid system"> Hybrid system</a>, <a href="https://publications.waset.org/abstracts/search?q=Waiting%20Time" title=" Waiting Time"> Waiting Time</a>, <a href="https://publications.waset.org/abstracts/search?q=Transportation%20system" title=" Transportation system"> Transportation system</a>, <a href="https://publications.waset.org/abstracts/search?q=Control" title=" Control"> Control</a> </p> <a href="https://publications.waset.org/abstracts/22406/control-of-hybrid-system-using-fuzzy-logic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22406.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">555</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">11783</span> Intelligent Control Design of Car Following Behavior Using Fuzzy Logic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelkader%20Merah">Abdelkader Merah</a>, <a href="https://publications.waset.org/abstracts/search?q=Kada%20Hartani"> Kada Hartani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A reference model based control approach for improving behavior following car is proposed in this paper. The reference model is nonlinear and provides dynamic solutions consistent with safety constraints and comfort specifications. a robust fuzzy logic based control strategy is further proposed in this paper. A set of simulation results showing the suitability of the proposed technique for various demanding cenarios is also included in this paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=reference%20model" title="reference model">reference model</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=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20of%20car" title=" design of car"> design of car</a> </p> <a href="https://publications.waset.org/abstracts/14210/intelligent-control-design-of-car-following-behavior-using-fuzzy-logic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14210.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">11782</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">11781</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">11780</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">11779</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">11778</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">11777</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">11776</span> Performences of Type-2 Fuzzy Logic Control and Neuro-Fuzzy Control Based on DPC for Grid Connected DFIG with Fixed Switching Frequency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fayssal%20Amrane">Fayssal Amrane</a>, <a href="https://publications.waset.org/abstracts/search?q=Azeddine%20Chaiba"> Azeddine Chaiba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, type-2 fuzzy logic control (T2FLC) and neuro-fuzzy control (NFC) for a doubly fed induction generator (DFIG) based on direct power control (DPC) with a fixed switching frequency is proposed for wind generation application. First, a mathematical model of the doubly-fed induction generator implemented in d-q reference frame is achieved. Then, a DPC algorithm approach for controlling active and reactive power of DFIG via fixed switching frequency is incorporated using PID. The performance of T2FLC and NFC, which is based on the DPC algorithm, are investigated and compared to those obtained from the PID controller. Finally, simulation results demonstrate that the NFC is more robust, superior dynamic performance for wind power generation system applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=doubly%20fed%20induction%20generator%20%28DFIG%29" title="doubly fed induction generator (DFIG)">doubly fed induction generator (DFIG)</a>, <a href="https://publications.waset.org/abstracts/search?q=direct%20power%20control%20%28DPC%29" title=" direct power control (DPC)"> direct power control (DPC)</a>, <a href="https://publications.waset.org/abstracts/search?q=neuro-fuzzy%20control%20%28NFC%29" title=" neuro-fuzzy control (NFC)"> neuro-fuzzy control (NFC)</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20power%20point%20tracking%20%28MPPT%29" title=" maximum power point tracking (MPPT)"> maximum power point tracking (MPPT)</a>, <a href="https://publications.waset.org/abstracts/search?q=space%20vector%20modulation%20%28SVM%29" title=" space vector modulation (SVM)"> space vector modulation (SVM)</a>, <a href="https://publications.waset.org/abstracts/search?q=type%202%20fuzzy%20logic%20control%20%28T2FLC%29" title=" type 2 fuzzy logic control (T2FLC)"> type 2 fuzzy logic control (T2FLC)</a> </p> <a href="https://publications.waset.org/abstracts/48773/performences-of-type-2-fuzzy-logic-control-and-neuro-fuzzy-control-based-on-dpc-for-grid-connected-dfig-with-fixed-switching-frequency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48773.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">11775</span> Ant Lion Optimization in a Fuzzy System for Benchmark Control Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leticia%20Cervantes">Leticia Cervantes</a>, <a href="https://publications.waset.org/abstracts/search?q=Edith%20Garcia"> Edith Garcia</a>, <a href="https://publications.waset.org/abstracts/search?q=Oscar%20Castillo"> Oscar Castillo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> At today, there are several control problems where the main objective is to obtain the best control in the study to decrease the error in the application. Many techniques can use to control these problems such as Neural Networks, PID control, Fuzzy Logic, Optimization techniques and many more. In this case, fuzzy logic with fuzzy system and an optimization technique are used to control the case of study. In this case, Ant Lion Optimization is used to optimize a fuzzy system to control the velocity of a simple treadmill. The main objective is to achieve the control of the velocity in the control problem using the ALO optimization. First, a simple fuzzy system was used to control the velocity of the treadmill it has two inputs (error and error change) and one output (desired speed), then results were obtained but to decrease the error the ALO optimization was developed to optimize the fuzzy system of the treadmill. Having the optimization, the simulation was performed, and results can prove that using the ALO optimization the control of the velocity was better than a conventional fuzzy system. This paper describes some basic concepts to help to understand the idea in this work, the methodology of the investigation (control problem, fuzzy system design, optimization), the results are presented and the optimization is used for the fuzzy system. A comparison between the simple fuzzy system and the optimized fuzzy systems are presented where it can be proving the optimization improved the control with good results the major findings of the study is that ALO optimization is a good alternative to improve the control because it helped to decrease the error in control applications even using any control technique to optimized, As a final statement is important to mentioned that the selected methodology was good because the control of the treadmill was improve using the optimization technique. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ant%20lion%20optimization" title="ant lion optimization">ant lion optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20problem" title=" control problem"> control problem</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=fuzzy%20system" title=" fuzzy system"> fuzzy system</a> </p> <a href="https://publications.waset.org/abstracts/88510/ant-lion-optimization-in-a-fuzzy-system-for-benchmark-control-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88510.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">399</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">11774</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">11773</span> Design of Membership Ranges for Fuzzy Logic Control of Refrigeration Cycle Driven by a Variable Speed Compressor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Changho%20Han">Changho Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaemin%20Lee"> Jaemin Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Hua"> Li Hua</a>, <a href="https://publications.waset.org/abstracts/search?q=Seokkwon%20Jeong"> Seokkwon Jeong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Design of membership function ranges in fuzzy logic control (FLC) is presented for robust control of a variable speed refrigeration system (VSRS). The criterion values of the membership function ranges can be carried out from the static experimental data, and two different values are offered to compare control performance. Some simulations and real experiments for the VSRS were conducted to verify the validity of the designed membership functions. The experimental results showed good agreement with the simulation results, and the error change rate and its sampling time strongly affected the control performance at transient state of the VSRS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=variable%20speed%20refrigeration%20system" title="variable speed refrigeration system">variable speed refrigeration system</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=membership%20function%20range" title=" membership function range"> membership function range</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20performance" title=" control performance"> control performance</a> </p> <a href="https://publications.waset.org/abstracts/90707/design-of-membership-ranges-for-fuzzy-logic-control-of-refrigeration-cycle-driven-by-a-variable-speed-compressor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90707.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">265</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">11772</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">11771</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">11770</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">11769</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">11768</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">11767</span> A Different Approach to Optimize Fuzzy Membership Functions with Extended FIR Filter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jun-Ho%20Chung">Jun-Ho Chung</a>, <a href="https://publications.waset.org/abstracts/search?q=Sung-Hyun%20Yoo"> Sung-Hyun Yoo</a>, <a href="https://publications.waset.org/abstracts/search?q=In-Hwan%20Choi"> In-Hwan Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyun-Kook%20Lee"> Hyun-Kook Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Moon-Kyu%20Song"> Moon-Kyu Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Choon-Ki%20Ahn"> Choon-Ki Ahn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The extended finite impulse response (EFIR) filter is addressed to optimize membership functions (MFs) of the fuzzy model that has strong nonlinearity. MFs are important parts of the fuzzy logic system (FLS) and, thus optimizing MFs of FLS is one of approaches to improve the performance of output. We employ the EFIR as an alternative optimization option to nonlinear fuzzy model. The performance of EFIR is demonstrated on a fuzzy cruise control via a numerical example. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20system" title="fuzzy logic system">fuzzy logic system</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</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=extended%20FIR%20filter" title=" extended FIR filter"> extended FIR filter</a> </p> <a href="https://publications.waset.org/abstracts/42104/a-different-approach-to-optimize-fuzzy-membership-functions-with-extended-fir-filter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42104.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">723</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">11766</span> Self-Tuning-Filter and Fuzzy Logic Control for 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=Kaddari%20Faiza">Kaddari Faiza</a>, <a href="https://publications.waset.org/abstracts/search?q=Mazari%20Benyounes"> Mazari Benyounes</a>, <a href="https://publications.waset.org/abstracts/search?q=Mihoub%20Youcef"> Mihoub Youcef</a>, <a href="https://publications.waset.org/abstracts/search?q=Safa%20Ahmed"> Safa Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Active filtering of electric power has now become a mature technology for reactive power and harmonic compensation caused by the proliferation of power electronics devices used for industrial, commercial and residential purposes. The aim of this study is to enhance the power quality by improving the performances of shunt active power filter in harmonic mitigation to obtain sinusoidal source currents with very weak ripples. A power circuit configuration and control scheme for shunt active power filter are described with an improved method for harmonics compensation using self-tuning-filter for harmonics identification and fuzzy logic control to generate reference current. Simulation results (using MATLAB/SIMULINK) illustrates the compensation characteristics of the proposed control strategy. Analysis of these results proves the feasibility and effectiveness of this method to improve the power quality and also show the performances of fuzzy logic control which provides flexibility, high precision and fast response. The total harmonic distortion (THD %) for the simulations found to be within the recommended imposed IEEE 519-1992 harmonic standard. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Active%20Powers%20Filter%20%28APF%29" title="Active Powers Filter (APF)">Active Powers Filter (APF)</a>, <a href="https://publications.waset.org/abstracts/search?q=Self-Tuning-Filter%20%28STF%29" title=" Self-Tuning-Filter (STF)"> Self-Tuning-Filter (STF)</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=hysteresis-band%20control" title=" hysteresis-band control "> hysteresis-band control </a> </p> <a href="https://publications.waset.org/abstracts/21684/self-tuning-filter-and-fuzzy-logic-control-for-shunt-active-power-filter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21684.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">737</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">11765</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">11764</span> Prediction of Coronary Heart Disease Using Fuzzy Logic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elda%20Maraj">Elda Maraj</a>, <a href="https://publications.waset.org/abstracts/search?q=Shkelqim%20Kuka"> Shkelqim Kuka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Coronary heart disease causes many deaths in the world. Unfortunately, this problem will continue to increase in the future. In this paper, a fuzzy logic model to predict coronary heart disease is presented. This model has been developed with seven input variables and one output variable that was implemented for 30 patients in Albania. Here fuzzy logic toolbox of MATLAB is used. Fuzzy model inputs are considered as cholesterol, blood pressure, physical activity, age, BMI, smoking, and diabetes, whereas the output is the disease classification. The fuzzy sets and membership functions are chosen in an appropriate manner. Centroid method is used for defuzzification. The database is taken from University Hospital Center "Mother Teresa" in Tirana, Albania. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coronary%20heart%20disease" title="coronary heart disease">coronary heart disease</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20toolbox" title=" fuzzy logic toolbox"> fuzzy logic toolbox</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=prediction%20model" title=" prediction model"> prediction model</a> </p> <a href="https://publications.waset.org/abstracts/148911/prediction-of-coronary-heart-disease-using-fuzzy-logic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148911.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">161</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">11763</span> Design of a Sliding Mode Control Using Nonlinear Sliding Surface and Nonlinear Observer Applied to the Trirotor Mini-Aircraft </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samir%20Zeghlache">Samir Zeghlache</a>, <a href="https://publications.waset.org/abstracts/search?q=Abderrahmen%20Bouguerra"> Abderrahmen Bouguerra</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamel%20Kara"> Kamel Kara</a>, <a href="https://publications.waset.org/abstracts/search?q=Djamel%20Saigaa"> Djamel Saigaa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The control of the trirotor helicopter includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. This paper presents a control strategy for an underactuated six degrees of freedom (6 DOF) trirotor helicopter, based on the coupling of the fuzzy logic control and sliding mode control (SMC). The main purpose of this work is to eliminate the chattering phenomenon. To achieve our purpose we have used a fuzzy logic control to generate the hitting control signal, also the non linear observer is then synthesized in order to estimate the unmeasured states. Finally simulation results are included to indicate the trirotor UAV with the proposed controller can greatly alleviate the chattering effect and remain robust to the external disturbances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20sliding%20mode%20control" title="fuzzy sliding mode control">fuzzy sliding mode control</a>, <a href="https://publications.waset.org/abstracts/search?q=trirotor%20helicopter" title=" trirotor helicopter"> trirotor helicopter</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20modelling" title=" dynamic modelling"> dynamic modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=underactuated%20systems" title=" underactuated systems "> underactuated systems </a> </p> <a href="https://publications.waset.org/abstracts/21720/design-of-a-sliding-mode-control-using-nonlinear-sliding-surface-and-nonlinear-observer-applied-to-the-trirotor-mini-aircraft" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21720.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">534</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">11762</span> Fuzzy Logic for Control and Automatic Operation of Natural Ventilation in Buildings</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ekpeti%20Bukola%20Grace">Ekpeti Bukola Grace</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoudi%20Sabar%20Esmail"> Mahmoudi Sabar Esmail</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaer%20Issa"> Chaer Issa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Global energy consumption has been increasing steadily over the last half - century, and this trend is projected to continue. As energy demand rises in many countries throughout the world due to population growth, natural ventilation in buildings has been identified as a viable option for lowering these demands, saving costs, and also lowering CO2 emissions. However, natural ventilation is driven by forces that are generally unpredictable in nature thus, it is important to manage the resulting airflow in order to maintain pleasant indoor conditions, making it a complex system that necessitates specific control approaches. The effective application of fuzzy logic technique amidst other intelligent systems is one of the best ways to bridge this gap, as its control dynamics relates more to human reasoning and linguistic descriptions. This article reviewed existing literature and presented practical solutions by applying fuzzy logic control with optimized techniques, selected input parameters, and expert rules to design a more effective control system. The control monitors used indoor temperature, outdoor temperature, carbon-dioxide levels, wind velocity, and rain as input variables to the system, while the output variable remains the control of window opening. This is achieved through the use of fuzzy logic control tool box in MATLAB and running simulations on SIMULINK to validate the effectiveness of the proposed system. Comparison analysis model via simulation is carried out, and with the data obtained, an improvement in control actions and energy savings was recorded. <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=intelligent%20control%20systems" title=" intelligent control systems"> intelligent control systems</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20ventilation" title=" natural ventilation"> natural ventilation</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/145968/fuzzy-logic-for-control-and-automatic-operation-of-natural-ventilation-in-buildings" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145968.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">129</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">11761</span> Meteorological Risk Assessment for Ships with Fuzzy Logic Designer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ismail%20Karaca">Ismail Karaca</a>, <a href="https://publications.waset.org/abstracts/search?q=Ridvan%20Saracoglu"> Ridvan Saracoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Omer%20Soner"> Omer Soner</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fuzzy Logic, an advanced method to support decision-making, is used by various scientists in many disciplines. Fuzzy programming is a product of fuzzy logic, fuzzy rules, and implication. In marine science, fuzzy programming for ships is dramatically increasing together with autonomous ship studies. In this paper, a program to support the decision-making process for ship navigation has been designed. The program is produced in fuzzy logic and rules, by taking the marine accidents and expert opinions into account. After the program was designed, the program was tested by 46 ship accidents reported by the Transportation Safety Investigation Center of Turkey. Wind speed, sea condition, visibility, day/night ratio have been used as input data. They have been converted into a risk factor within the Fuzzy Logic Designer application and fuzzy rules set by marine experts. Finally, the expert's meteorological risk factor for each accident is compared with the program's risk factor, and the error rate was calculated. The main objective of this study is to improve the navigational safety of ships, by using the advance decision support model. According to the study result, fuzzy programming is a robust model that supports safe navigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calculation%20of%20risk%20factor" title="calculation of risk factor">calculation of risk factor</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=fuzzy%20programming%20for%20ship" title=" fuzzy programming for ship"> fuzzy programming for ship</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20navigation%20of%20ships" title=" safety navigation of ships"> safety navigation of ships</a> </p> <a href="https://publications.waset.org/abstracts/122512/meteorological-risk-assessment-for-ships-with-fuzzy-logic-designer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122512.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">189</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">11760</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">11759</span> MPPT Control with (P&O) and (FLC) Algorithms of Solar Electric Generator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dib%20Djalel">Dib Djalel</a>, <a href="https://publications.waset.org/abstracts/search?q=Mordjaoui%20Mourad"> Mordjaoui Mourad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current trend towards the exploitation of various renewable energy resources has become indispensable, so it is important to improve the efficiency and reliability of the GPV photovoltaic systems. Maximum Power Point Tracking (MPPT) plays an important role in photovoltaic power systems because it maximize the power output from a PV system for a given set of conditions. This paper presents a new fuzzy logic control based MPPT algorithm for solar panel. The solar panel is modeled and analyzed in Matlab/Simulink. The Solar panel can produce maximum power at a particular operating point called Maximum Power Point(MPP). To produce maximum power and to get maximum efficiency, the entire photovoltaic panel must operate at this particular point. Maximum power point of PV panel keeps on changing with changing environmental conditions such as solar irradiance and cell temperature. Thus, to extract maximum available power from a PV module, MPPT algorithms are implemented and Perturb and Observe (P&O) MPPT and fuzzy logic control FLC, MPPT are developed and compared. Simulation results show the effectiveness of the fuzzy control technique to produce a more stable power. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MPPT" title="MPPT">MPPT</a>, <a href="https://publications.waset.org/abstracts/search?q=photovoltaic%20panel" title=" photovoltaic panel"> photovoltaic panel</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=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20power" title=" solar power "> solar power </a> </p> <a href="https://publications.waset.org/abstracts/14081/mppt-control-with-po-and-flc-algorithms-of-solar-electric-generator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14081.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">483</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">11758</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> 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