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Controller System</title> <meta name="description" content="Search results for: PLC Controller System"> <meta name="keywords" content="PLC Controller System"> <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 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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="PLC Controller System"> <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> 17788</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: PLC Controller System</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17788</span> Control of Proton Exchange Membrane Fuel Cell Power System Using PI and Sliding Mode Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Derbeli">Mohamed Derbeli</a>, <a href="https://publications.waset.org/abstracts/search?q=Maissa%20Farhat"> Maissa Farhat</a>, <a href="https://publications.waset.org/abstracts/search?q=Oscar%20Barambones"> Oscar Barambones</a>, <a href="https://publications.waset.org/abstracts/search?q=Lassaad%20Sbita"> Lassaad Sbita</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Conventional controller (PI) applied to a DC/DC boost converter for the improvement and optimization of the Proton Exchange Membrane Fuel Cell (PEMFC) system efficiency, cannot attain a good performance effect. Thus, due to its advantages comparatively with the PI controller, this paper interest is focused on the use of the sliding mode controller (SMC), Stability of the closed loop system is analytically proved using Lyapunov approach for the proposed controller. The model and the controllers are implemented in the MATLAB and SIMULINK environment. A comparison of results indicates that the suggested approach has considerable advantages compared to the traditional controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DC%2FDC%20boost%20converter" title="DC/DC boost converter">DC/DC boost converter</a>, <a href="https://publications.waset.org/abstracts/search?q=PEMFC" title=" PEMFC"> PEMFC</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=sliding%20mode%20controller" title=" sliding mode controller"> sliding mode controller</a> </p> <a href="https://publications.waset.org/abstracts/60160/control-of-proton-exchange-membrane-fuel-cell-power-system-using-pi-and-sliding-mode-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60160.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">234</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">17787</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">17786</span> Designing Intelligent Adaptive Controller for Nonlinear Pendulum Dynamical System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Ghasemi">R. Ghasemi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20R.%20Rahimi%20Khoygani"> M. R. Rahimi Khoygani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes the designing direct adaptive neural controller to apply for a class of a nonlinear pendulum dynamic system. The radial basis function (RBF) neural adaptive controller is robust in presence of external and internal uncertainties. Both the effectiveness of the controller and robustness against disturbances are importance of this paper. The simulation results show the promising performance of the proposed controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20neural%20controller" title="adaptive neural controller">adaptive neural controller</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20dynamical" title=" nonlinear dynamical"> nonlinear dynamical</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=RBF" title=" RBF"> RBF</a>, <a href="https://publications.waset.org/abstracts/search?q=driven%20pendulum" title=" driven pendulum"> driven pendulum</a>, <a href="https://publications.waset.org/abstracts/search?q=position%20control" title=" position control "> position control </a> </p> <a href="https://publications.waset.org/abstracts/13745/designing-intelligent-adaptive-controller-for-nonlinear-pendulum-dynamical-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13745.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">482</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">17785</span> Design of Chaos Algorithm Based Optimal PID Controller for SVC </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saeid%20Jalilzadeh">Saeid Jalilzadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> SVC is one of the most significant devices in FACTS technology which is used in parallel compensation, enhancing the transient stability, limiting the low frequency oscillations and etc. designing a proper controller is effective in operation of svc. In this paper the equations that describe the proposed system have been linearized and then the optimum PID controller has been designed for svc which its optimal coefficients have been earned by chaos algorithm. Quick damping of oscillations of generator is the aim of designing of optimum PID controller for svc whether the input power of generator has been changed suddenly. The system with proposed controller has been simulated for a special disturbance and the dynamic responses of generator have been presented. The simulation results showed that a system composed with proposed controller has suitable operation in fast damping of oscillations of generator. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chaos" title="chaos">chaos</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=SVC" title=" SVC"> SVC</a>, <a href="https://publications.waset.org/abstracts/search?q=frequency%20oscillation" title=" frequency oscillation"> frequency oscillation</a> </p> <a href="https://publications.waset.org/abstracts/15527/design-of-chaos-algorithm-based-optimal-pid-controller-for-svc" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15527.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">441</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">17784</span> Ziegler Nichols Based Integral Proportional Controller for Superheated Steam Temperature Control System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amil%20Daraz">Amil Daraz</a>, <a href="https://publications.waset.org/abstracts/search?q=Suheel%20Abdullah%20Malik"> Suheel Abdullah Malik</a>, <a href="https://publications.waset.org/abstracts/search?q=Tahir%20Saleem"> Tahir Saleem</a>, <a href="https://publications.waset.org/abstracts/search?q=Sajid%20Ali%20Bhati"> Sajid Ali Bhati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, Integral Proportional (I-P) controller is employed for superheated steam temperature control system. The Ziegler-Nichols (Z-N) method is used for the tuning of I-P controller. The performance analysis of Z-N based I-P controller is assessed on superheated steam system of 500-MW boiler. The comparison of transient response parameters such as rise time, settling time, and overshoot is made with Z-N based Proportional Integral (PI) controller. It is observed from the results that Z-N based I-P controller completely eliminates the overshoot in the output response. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=superheated%20steam" title="superheated steam">superheated steam</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20reaction%20curve" title=" process reaction curve"> process reaction curve</a>, <a href="https://publications.waset.org/abstracts/search?q=PI%20and%20I-P%20controller" title=" PI and I-P controller"> PI and I-P controller</a>, <a href="https://publications.waset.org/abstracts/search?q=Ziegler-Nichols%20Tuning" title=" Ziegler-Nichols Tuning"> Ziegler-Nichols Tuning</a> </p> <a href="https://publications.waset.org/abstracts/71394/ziegler-nichols-based-integral-proportional-controller-for-superheated-steam-temperature-control-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71394.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">331</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">17783</span> Neural Adaptive Controller for a Class of Nonlinear Pendulum Dynamical System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Reza%20Rahimi%20Khoygani">Mohammad Reza Rahimi Khoygani</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Ghasemi"> Reza Ghasemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, designing direct adaptive neural controller is applied for a class of a nonlinear pendulum dynamic system. The radial basis function (RBF) is used for the Neural network (NN). The adaptive neural controller is robust in presence of external and internal uncertainties. Both the effectiveness of the controller and robustness against disturbances are the merits of this paper. The promising performance of the proposed controllers investigates in simulation results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20control" title="adaptive control">adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=pendulum%20dynamical%20system" title=" pendulum dynamical system"> pendulum dynamical system</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20control" title=" nonlinear control"> nonlinear control</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20neural%20controller" title=" adaptive neural controller"> adaptive neural controller</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20dynamical" title=" nonlinear dynamical"> nonlinear dynamical</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=RBF" title=" RBF"> RBF</a>, <a href="https://publications.waset.org/abstracts/search?q=driven%20pendulum" title=" driven pendulum"> driven pendulum</a>, <a href="https://publications.waset.org/abstracts/search?q=position%20control" title=" position control "> position control </a> </p> <a href="https://publications.waset.org/abstracts/13649/neural-adaptive-controller-for-a-class-of-nonlinear-pendulum-dynamical-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13649.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">670</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">17782</span> Designing Back-Stepping Sliding Mode Controller for a Class of 4Y Octorotor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Khabbazi">I. Khabbazi</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Ghasemi"> R. Ghasemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a combination of both robust nonlinear controller and nonlinear controller for a class of nonlinear 4Y Octorotor UAV using Back-stepping and sliding mode controller. The robustness against internal and external disturbance and decoupling control are the merits of the proposed paper. The proposed controller decouples the Octorotor dynamical system. The controller is then applied to a 4Y Octorotor UAV and its feature will be shown. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode" title="sliding mode">sliding mode</a>, <a href="https://publications.waset.org/abstracts/search?q=backstepping" title=" backstepping"> backstepping</a>, <a href="https://publications.waset.org/abstracts/search?q=decoupling" title=" decoupling"> decoupling</a>, <a href="https://publications.waset.org/abstracts/search?q=octorotor%20UAV" title=" octorotor UAV"> octorotor UAV</a> </p> <a href="https://publications.waset.org/abstracts/14595/designing-back-stepping-sliding-mode-controller-for-a-class-of-4y-octorotor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14595.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">440</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">17781</span> An Efficient Design of Static Synchronous Series Compensator Based Fractional Order PID Controller Using Invasive Weed Optimization Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelghani%20Choucha">Abdelghani Choucha</a>, <a href="https://publications.waset.org/abstracts/search?q=Lakhdar%20Chaib"> Lakhdar Chaib</a>, <a href="https://publications.waset.org/abstracts/search?q=Salem%20Arif"> Salem Arif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper treated the problem of power system stability with the aid of Static Synchronous Series Compensator (SSSC) installed in the transmission line of single machine infinite bus (SMIB) power system. A fractional order PID (FOPID) controller has been applied as a robust controller for optimal SSSC design to control the power system characteristics. Additionally, the SSSC based FOPID parameters are smoothly tuned using Invasive Weed Optimization algorithm (IWO). To verify the strength of the proposed controller, SSSC based FOPID controller is validated in a wide range of operating condition and compared with the conventional scheme SSSC-POD controller. The main purpose of the proposed process is greatly enhanced the dynamic states of the tested system. Simulation results clearly prove the superiority and performance of the proposed controller design. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SSSC-FOPID" title="SSSC-FOPID">SSSC-FOPID</a>, <a href="https://publications.waset.org/abstracts/search?q=SSSC-POD" title=" SSSC-POD"> SSSC-POD</a>, <a href="https://publications.waset.org/abstracts/search?q=SMIB%20power%20system" title=" SMIB power system"> SMIB power system</a>, <a href="https://publications.waset.org/abstracts/search?q=invasive%20weed%20optimization%20algorithm" title=" invasive weed optimization algorithm"> invasive weed optimization algorithm</a> </p> <a href="https://publications.waset.org/abstracts/78908/an-efficient-design-of-static-synchronous-series-compensator-based-fractional-order-pid-controller-using-invasive-weed-optimization-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78908.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">188</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">17780</span> A Robust PID Load Frequency Controller of Interconnected Power System Using SDO Software</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pasala%20Gopi">Pasala Gopi</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Linga%20Reddy"> P. Linga Reddy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The response of the load frequency control problem in an multi-area interconnected electrical power system is much more complex with increasing size, changing structure and increasing load. This paper deals with Load Frequency Control of three area interconnected Power system incorporating Reheat, Non-reheat and Reheat turbines in all areas respectively. The response of the load frequency control problem in an multi-area interconnected power system is improved by designing PID controller using different tuning techniques and proved that the PID controller which was designed by Simulink Design Optimization (SDO) Software gives the superior performance than other controllers for step perturbations. Finally the robustness of controller was checked against system parameter variations <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=load%20frequency%20control" title="load frequency control">load frequency control</a>, <a href="https://publications.waset.org/abstracts/search?q=pid%20controller%20tuning" title=" pid controller tuning"> pid controller tuning</a>, <a href="https://publications.waset.org/abstracts/search?q=step%20load%20perturbations" title=" step load perturbations"> step load perturbations</a>, <a href="https://publications.waset.org/abstracts/search?q=inter%20connected%20power%20system" title=" inter connected power system"> inter connected power system</a> </p> <a href="https://publications.waset.org/abstracts/30053/a-robust-pid-load-frequency-controller-of-interconnected-power-system-using-sdo-software" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30053.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">644</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">17779</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">17778</span> Fractional-Order PI Controller Tuning Rules for Cascade Control System </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Truong%20Nguyen%20Luan%20Vu">Truong Nguyen Luan Vu</a>, <a href="https://publications.waset.org/abstracts/search?q=Le%20Hieu%20Giang"> Le Hieu Giang</a>, <a href="https://publications.waset.org/abstracts/search?q=Le%20Linh"> Le Linh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The fractional–order proportional integral (FOPI) controller tuning rules based on the fractional calculus for the cascade control system are systematically proposed in this paper. Accordingly, the ideal controller is obtained by using internal model control (IMC) approach for both the inner and outer loops, which gives the desired closed-loop responses. On the basis of the fractional calculus, the analytical tuning rules of FOPI controller for the inner loop can be established in the frequency domain. Besides, the outer loop is tuned by using any integer PI/PID controller tuning rules in the literature. The simulation study is considered for the stable process model and the results demonstrate the simplicity, flexibility, and effectiveness of the proposed method for the cascade control system in compared with the other methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bode%E2%80%99s%20ideal%20transfer%20function" title="Bode’s ideal transfer function">Bode’s ideal transfer function</a>, <a href="https://publications.waset.org/abstracts/search?q=fractional%20calculus" title=" fractional calculus"> fractional calculus</a>, <a href="https://publications.waset.org/abstracts/search?q=fractional%E2%80%93order%20proportional%20integral%20%28FOPI%29%20controller" title=" fractional–order proportional integral (FOPI) controller"> fractional–order proportional integral (FOPI) controller</a>, <a href="https://publications.waset.org/abstracts/search?q=cascade%20control%20system" title=" cascade control system"> cascade control system</a> </p> <a href="https://publications.waset.org/abstracts/48740/fractional-order-pi-controller-tuning-rules-for-cascade-control-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48740.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">377</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">17777</span> A Comparative Study on a Tilt-Integral-Derivative Controller with Proportional-Integral-Derivative Controller for a Pacemaker</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aysan%20Esgandanian">Aysan Esgandanian</a>, <a href="https://publications.waset.org/abstracts/search?q=Sabalan%20Daneshvar"> Sabalan Daneshvar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study is done to determine the comparison between proportional-integral-derivative controller (PID controller) and tilt-integral-derivative (TID controller) for cardiac pacemaker systems, which can automatically control the heart rate to accurately track a desired preset profile. The controller offers good adaption of heart to the physiological needs of the patient. The parameters of the both controllers are tuned by particle swarm optimization (PSO) algorithm which uses the integral of time square error as a fitness function to be minimized. Simulation results are performed on the developed cardiovascular system of humans and results demonstrate that the TID controller produces superior control performance than PID controllers. In this paper, all simulations were performed in Matlab. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=integral%20of%20time%20square%20error" title="integral of time square error">integral of time square error</a>, <a href="https://publications.waset.org/abstracts/search?q=pacemaker%20systems" title=" pacemaker systems"> pacemaker systems</a>, <a href="https://publications.waset.org/abstracts/search?q=proportional-integral-derivative%20controller" title=" proportional-integral-derivative controller"> proportional-integral-derivative controller</a>, <a href="https://publications.waset.org/abstracts/search?q=PSO%20algorithm" title=" PSO algorithm"> PSO algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=tilt-integral-derivative%20controller" title=" tilt-integral-derivative controller"> tilt-integral-derivative controller</a> </p> <a href="https://publications.waset.org/abstracts/43351/a-comparative-study-on-a-tilt-integral-derivative-controller-with-proportional-integral-derivative-controller-for-a-pacemaker" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43351.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">462</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">17776</span> An Approach on Robust Multi Inversion of a Nonlinear Model for an Omni-Directional Mobile</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fernando%20P.%20Silva">Fernando P. Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=Valter%20J.%20S.%20Leite"> Valter J. S. Leite</a>, <a href="https://publications.waset.org/abstracts/search?q=Erivelton%20G.%20Nepomuceno"> Erivelton G. Nepomuceno</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a nonlinear controller design for an omnidirectional mobile is presented. The robot controller consists of an inner-loop controller and an outer-loop controller, the ﬁrst is designed using state feedback (robust allocation) and the second controller is designed based on Robust Multi Inversion (RMI) approach. The objective of RMI controller is rendering the robust inversion of the dynamic, when the model is affected by uncertainties. A model nonlinear MIMO of an omni-directional robot (small-league of Robocup) is used to simulate the RMI approach. The parameters of linear and nonlinear model are varied to cause modelling uncertainties among the model and the real model (real system) generating an error in inner-loop controller signal that must be compensated by RMI controller. The simulation test results show that the RMI is capable of compensating the uncertainties and keep the system stable and controlled under uncertainties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=robust%20multi%20inversion" title="robust multi inversion">robust multi inversion</a>, <a href="https://publications.waset.org/abstracts/search?q=omni-directional%20robot" title=" omni-directional robot"> omni-directional robot</a>, <a href="https://publications.waset.org/abstracts/search?q=robocup" title=" robocup"> robocup</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/7104/an-approach-on-robust-multi-inversion-of-a-nonlinear-model-for-an-omni-directional-mobile" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7104.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">586</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">17775</span> Suitable Tuning Method Selection for PID Controller Used in Digital Excitation System of Brushless Synchronous Generator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepak%20M.%20Sajnekar">Deepak M. Sajnekar</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20B.%20Deshpande"> S. B. Deshpande</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20M.%20Mohril"> R. M. Mohril</a> </p> <p class="card-text"><strong>Abstract:</strong></p> At present many rotary excitation control system are using analog type of Automatic Voltage Regulator which now started to replace with the digital automatic voltage regulator which is provided with PID controller and tuning of PID controller is a challenging task. The cases where digital excitation control system is used tuning of PID controller are still carried out by pole placement method. Tuning of PID controller used for static excitation control system is not challenging because it does not involve exciter time constant. This paper discusses two methods of tuning PID controller i.e. Pole placement method and pole zero cancellation method. GUI prepared for both the methods on the platform of MATLAB. Using this GUI, performance results and time required for tuning for both the methods are compared. Sensitivity of the methods is also presented with parameter variation like loop gain ‘K’ and exciter time constant ‘te’. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20excitation%20system" title="digital excitation system">digital excitation system</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20voltage%20regulator" title=" automatic voltage regulator"> automatic voltage regulator</a>, <a href="https://publications.waset.org/abstracts/search?q=pole%20placement%20method" title=" pole placement method"> pole placement method</a>, <a href="https://publications.waset.org/abstracts/search?q=pole%20zero%20cancellation%20method" title=" pole zero cancellation method"> pole zero cancellation method</a> </p> <a href="https://publications.waset.org/abstracts/12214/suitable-tuning-method-selection-for-pid-controller-used-in-digital-excitation-system-of-brushless-synchronous-generator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12214.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">678</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">17774</span> PSS and SVC Controller Design by BFA to Enhance the Power System Stability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saeid%20Jalilzadeh">Saeid Jalilzadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Designing of PSS and SVC controller based on Bacterial Foraging Algorithm (BFA) to improve the stability of power system is proposed in this paper. Same controllers for PSS and SVC has been considered and Single machine infinite bus (SMIB) system with SVC located at the terminal of generator is used to evaluate the proposed controllers. BFA is used to optimize the coefficients of the controllers. Finally simulation for a special disturbance as an input power of generator with the proposed controllers in order to investigate the dynamic behavior of generator is done. The simulation results demonstrate that the system composed with optimized controllers has an outstanding operation in fast damping of oscillations of power system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PSS" title="PSS">PSS</a>, <a href="https://publications.waset.org/abstracts/search?q=SVC" title=" SVC"> SVC</a>, <a href="https://publications.waset.org/abstracts/search?q=SMIB" title=" SMIB"> SMIB</a>, <a href="https://publications.waset.org/abstracts/search?q=optimize%20controller" title=" optimize controller"> optimize controller</a> </p> <a href="https://publications.waset.org/abstracts/15396/pss-and-svc-controller-design-by-bfa-to-enhance-the-power-system-stability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15396.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">17773</span> Performance Comparison of Microcontroller-Based Optimum Controller for Fruit Drying System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Umar%20Salisu">Umar Salisu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research presents the development of a hot air tomatoes drying system. To provide a more efficient and continuous temperature control, microcontroller-based optimal controller was developed. The system is based on a power control principle to achieve smooth power variations depending on a feedback temperature signal of the process. An LM35 temperature sensor and LM399 differential comparator were used to measure the temperature. The mathematical model of the system was developed and the optimal controller was designed and simulated and compared with the PID controller transient response. A controlled environment suitable for fruit drying is developed within a closed chamber and is a three step process. First, the infrared light is used internally to preheated the fruit to speedily remove the water content inside the fruit for fast drying. Second, hot air of a specified temperature is blown inside the chamber to maintain the humidity below a specified level and exhaust the humid air of the chamber. Third, the microcontroller disconnects the power to the chamber after the moisture content of the fruits is removed to minimal. Experiments were conducted with 1kg of fresh tomatoes at three different temperatures (40, 50 and 60 °C) at constant relative humidity of 30%RH. The results obtained indicate that the system is significantly reducing the drying time without affecting the quality of the fruits. In the context of temperature control, the results obtained showed that the response of the optimal controller has zero overshoot whereas the PID controller response overshoots to about 30% of the set-point. Another performance metric used is the rising time; the optimal controller rose without any delay while the PID controller delayed for more than 50s. It can be argued that the optimal controller performance is preferable than that of the PID controller since it does not overshoot and it starts in good time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drying" title="drying">drying</a>, <a href="https://publications.waset.org/abstracts/search?q=microcontroller" title=" microcontroller"> microcontroller</a>, <a href="https://publications.waset.org/abstracts/search?q=optimum%20controller" title=" optimum controller"> optimum controller</a>, <a href="https://publications.waset.org/abstracts/search?q=PID%20controller" title=" PID controller"> PID controller</a> </p> <a href="https://publications.waset.org/abstracts/49516/performance-comparison-of-microcontroller-based-optimum-controller-for-fruit-drying-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49516.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">301</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">17772</span> System Identification and Controller Design for a DC Electrical Motor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Armel%20Asongu%20Nkembi">Armel Asongu Nkembi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Fawad"> Ahmad Fawad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this paper is to determine in a concise way the transfer function that characterizes a DC electrical motor with a helix. In practice it can be obtained by applying a particular input to the system and then, based on the observation of its output, determine an approximation to the transfer function of the system. In our case, we use a step input and find the transfer function parameters that give the simulated first-order time response. The simulation of the system is done using MATLAB/Simulink. In order to determine the parameters, we assume a first order system and use the Broida approximation to determine the parameters and then its Mean Square Error (MSE). Furthermore, we design a PID controller for the control process first in the continuous time domain and tune it using the Ziegler-Nichols open loop process. We then digitize the controller to obtain a digital controller since most systems are implemented using computers, which are digital in nature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=transfer%20function" title="transfer function">transfer function</a>, <a href="https://publications.waset.org/abstracts/search?q=step%20input" title=" step input"> step input</a>, <a href="https://publications.waset.org/abstracts/search?q=MATLAB" title=" MATLAB"> MATLAB</a>, <a href="https://publications.waset.org/abstracts/search?q=Simulink" title=" Simulink"> Simulink</a>, <a href="https://publications.waset.org/abstracts/search?q=DC%20electrical%20motor" title=" DC electrical motor"> DC electrical motor</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=open-loop%20process" title=" open-loop process"> open-loop process</a>, <a href="https://publications.waset.org/abstracts/search?q=mean%20square%20process" title=" mean square process"> mean square process</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20controller" title=" digital controller"> digital controller</a>, <a href="https://publications.waset.org/abstracts/search?q=Ziegler-Nichols" title=" Ziegler-Nichols"> Ziegler-Nichols</a> </p> <a href="https://publications.waset.org/abstracts/186025/system-identification-and-controller-design-for-a-dc-electrical-motor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186025.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">55</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">17771</span> Real-Time Implementation of Self-Tuning Fuzzy-PID Controller for First Order Plus Dead Time System Base on Microcontroller STM32</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maitree%20Thamma">Maitree Thamma</a>, <a href="https://publications.waset.org/abstracts/search?q=Witchupong%20Wiboonjaroen"> Witchupong Wiboonjaroen</a>, <a href="https://publications.waset.org/abstracts/search?q=Thanat%20Suknuan"> Thanat Suknuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Karan%20Homchat"> Karan Homchat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> First order plus dead time (FOPDT) is a high dynamic system. Therefore, the controller must be intelligent. This paper presents the development and implementation of self-tuning Fuzzy-PID controller for controlling the FOPDT system. The water level process used represented FOPDT system and the mathematical model of the system was approximated by using System Identification toolbox in Matlab. The control programming and Fuzzy-PID algorithm used Matlab/Simulink and run on Microcontroller STM32. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=real-time%20control" title="real-time control">real-time control</a>, <a href="https://publications.waset.org/abstracts/search?q=self-tuning%20fuzzy-PID" title=" self-tuning fuzzy-PID"> self-tuning fuzzy-PID</a>, <a href="https://publications.waset.org/abstracts/search?q=FOPDT%20system" title=" FOPDT system"> FOPDT system</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20water%20lever%20process" title=" the water lever process"> the water lever process</a> </p> <a href="https://publications.waset.org/abstracts/62422/real-time-implementation-of-self-tuning-fuzzy-pid-controller-for-first-order-plus-dead-time-system-base-on-microcontroller-stm32" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62422.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">292</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">17770</span> Assessment Power and Oscillation Damping Using the POD Controller and Proposed FOD Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tohid%20Rahimi">Tohid Rahimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yahya%20Naderi"> Yahya Naderi</a>, <a href="https://publications.waset.org/abstracts/search?q=Babak%20Yousefi"> Babak Yousefi</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Hossein%20Hoseini"> Seyed Hossein Hoseini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today’s modern interconnected power system is highly complex in nature. In this, one of the most important requirements during the operation of the electric power system is the reliability and security. Power and frequency oscillation damping mechanism improve the reliability. Because of power system stabilizer (PSS) low speed response against of major fault such as three phase short circuit, FACTs devise that can control the network condition in very fast time, are becoming popular. However, FACTs capability can be seen in a major fault present when nonlinear models of FACTs devise and power system equipment are applied. To realize this aim, the model of multi-machine power system with FACTs controller is developed in MATLAB/SIMULINK using Sim Power System (SPS) blockiest. Among the FACTs device, Static synchronous series compensator (SSSC) due to high speed changes its reactance characteristic inductive to capacitive, is effective power flow controller. Tuning process of controller parameter can be performed using different method. However, Genetic Algorithm (GA) ability tends to use it in controller parameter tuning process. In this paper, firstly POD controller is used to power oscillation damping. But in this station, frequency oscillation dos not has proper damping situation. Therefore, FOD controller that is tuned using GA is using that cause to damp out frequency oscillation properly and power oscillation damping has suitable situation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20oscillation%20damping%20%28POD%29" title="power oscillation damping (POD)">power oscillation damping (POD)</a>, <a href="https://publications.waset.org/abstracts/search?q=frequency%20oscillation%20damping%20%28FOD%29" title=" frequency oscillation damping (FOD)"> frequency oscillation damping (FOD)</a>, <a href="https://publications.waset.org/abstracts/search?q=Static%20synchronous%20series%20compensator%20%28SSSC%29" title=" Static synchronous series compensator (SSSC)"> Static synchronous series compensator (SSSC)</a>, <a href="https://publications.waset.org/abstracts/search?q=Genetic%20Algorithm%20%28GA%29" title=" Genetic Algorithm (GA)"> Genetic Algorithm (GA)</a> </p> <a href="https://publications.waset.org/abstracts/18560/assessment-power-and-oscillation-damping-using-the-pod-controller-and-proposed-fod-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18560.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">476</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">17769</span> Optimal Tuning of Linear Quadratic Regulator Controller Using a Particle Swarm Optimization for Two-Rotor Aerodynamical System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ayad%20Al-Mahturi">Ayad Al-Mahturi</a>, <a href="https://publications.waset.org/abstracts/search?q=Herman%20Wahid"> Herman Wahid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an optimal state feedback controller based on Linear Quadratic Regulator (LQR) for a two-rotor aero-dynamical system (TRAS). TRAS is a highly nonlinear multi-input multi-output (MIMO) system with two degrees of freedom and cross coupling. There are two parameters that define the behavior of LQR controller: state weighting matrix and control weighting matrix. The two parameters influence the performance of LQR. Particle Swarm Optimization (PSO) is proposed to optimally tune weighting matrices of LQR. The major concern of using LQR controller is to stabilize the TRAS by making the beam move quickly and accurately for tracking a trajectory or to reach a desired altitude. The simulation results were carried out in MATLAB/Simulink. The system is decoupled into two single-input single-output (SISO) systems. Comparing the performance of the optimized proportional, integral and derivative (PID) controller provided by INTECO, results depict that LQR controller gives a better performance in terms of both transient and steady state responses when PSO is performed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LQR%20controller" title="LQR controller">LQR controller</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20control" title=" optimal control"> optimal control</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization%20%28PSO%29" title=" particle swarm optimization (PSO)"> particle swarm optimization (PSO)</a>, <a href="https://publications.waset.org/abstracts/search?q=two%20rotor%20aero-dynamical%20system%20%28TRAS%29" title=" two rotor aero-dynamical system (TRAS)"> two rotor aero-dynamical system (TRAS)</a> </p> <a href="https://publications.waset.org/abstracts/65313/optimal-tuning-of-linear-quadratic-regulator-controller-using-a-particle-swarm-optimization-for-two-rotor-aerodynamical-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65313.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">322</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">17768</span> Sliding Mode Control for Active Suspension System with Actuator Delay</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aziz%20Sezgin">Aziz Sezgin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuksel%20Hacioglu"> Yuksel Hacioglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Nurkan%20Yagiz"> Nurkan Yagiz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sliding mode controller for a vehicle active suspension system is designed in this study. The widely used quarter car model is preferred and it is aimed to improve the ride comfort of the passengers. The effect of the actuator time delay, which may arise due to the information processing, sensors or actuator dynamics, is also taken into account during the design of the controller. A sliding mode controller was designed that has taken into account the actuator time delay by using Smith predictor. The successful performance of the designed controller is confirmed via numerical results. <p class="card-text"><strong>Keywords:</strong> <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=active%20suspension%20system" title=" active suspension system"> active suspension system</a>, <a href="https://publications.waset.org/abstracts/search?q=actuator" title=" actuator"> actuator</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20delay" title=" time delay"> time delay</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle" title=" vehicle"> vehicle</a> </p> <a href="https://publications.waset.org/abstracts/48611/sliding-mode-control-for-active-suspension-system-with-actuator-delay" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48611.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">409</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">17767</span> Design of Orientation-Free Handler and Fuzzy Controller for Wire-Driven Heavy Object Lifting System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bo-Wei%20Song">Bo-Wei Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Yun-Jung%20Lee"> Yun-Jung Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an intention interface and controller for a wire-driven heavy object lifting system that assists the operator with moving a heavy object. The handler is designed to allow a comfortable working posture for the operator. Plus, as a human assistive system, the operator is involved in the control loop, where a fuzzy control system is used to consider the human control characteristics. The effectiveness and performance of the proposed system are proved by experiments. <p class="card-text"><strong>Keywords:</strong> <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=handler%20design" title=" handler design"> handler design</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20object%20lifting%20system" title=" heavy object lifting system"> heavy object lifting system</a>, <a href="https://publications.waset.org/abstracts/search?q=human-assistive%20device" title=" human-assistive device"> human-assistive device</a>, <a href="https://publications.waset.org/abstracts/search?q=human-in-the-loop%20system" title=" human-in-the-loop system"> human-in-the-loop system</a> </p> <a href="https://publications.waset.org/abstracts/3626/design-of-orientation-free-handler-and-fuzzy-controller-for-wire-driven-heavy-object-lifting-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3626.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">514</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">17766</span> Sliding Mode Control of an Internet Teleoperated PUMA 600 Robot</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdallah%20Ghoul">Abdallah Ghoul</a>, <a href="https://publications.waset.org/abstracts/search?q=Bachir%20Ouamri"> Bachir Ouamri</a>, <a href="https://publications.waset.org/abstracts/search?q=Ismail%20Khalil%20Bousserhane"> Ismail Khalil Bousserhane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we have developed a sliding mode controller for PUMA 600 manipulator robot, to control the remote robot a teleoperation system was developed. This system includes two sites, local and remote. The sliding mode controller is installed at the remote site. The client asks for a position through an interface and receives the real positions after running of the task by the remote robot. Both sites are interconnected via the Internet. In order to verify the effectiveness of the sliding mode controller, that is compared with a classic PID controller. The developed approach is tested on a virtual robot. The results confirmed the high performance of this approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=internet" title="internet">internet</a>, <a href="https://publications.waset.org/abstracts/search?q=manipulator%20robot" title=" manipulator robot"> manipulator robot</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=remote%20control" title=" remote control"> remote control</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode" title=" sliding mode"> sliding mode</a>, <a href="https://publications.waset.org/abstracts/search?q=teleoperation" title=" teleoperation"> teleoperation</a> </p> <a href="https://publications.waset.org/abstracts/78157/sliding-mode-control-of-an-internet-teleoperated-puma-600-robot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78157.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">330</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">17765</span> Improvement of the Robust Proportional–Integral–Derivative (PID) Controller Parameters for Controlling the Frequency in the Intelligent Multi-Zone System at the Present of Wind Generation Using the Seeker Optimization Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roya%20Ahmadi%20Ahangar">Roya Ahmadi Ahangar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Madadyari"> Hamid Madadyari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The seeker optimization algorithm (SOA) is increasingly gaining popularity among the researchers society due to its effectiveness in solving some real-world optimization problems. This paper provides the load-frequency control method based on the SOA for removing oscillations in the power system. A three-zone power system includes a thermal zone, a hydraulic zone and a wind zone equipped with robust proportional-integral-differential (PID) controllers. The result of simulation indicates that load-frequency changes in the wind zone for the multi-zone system are damped in a short period of time. Meanwhile, in the oscillation period, the oscillations amplitude is not significant. The result of simulation emphasizes that the PID controller designed using the seeker optimization algorithm has a robust function and a better performance for oscillations damping compared to the traditional PID controller. The proposed controller’s performance has been compared to the performance of PID controller regulated with Particle Swarm Optimization (PSO) and. Genetic Algorithm (GA) and Artificial Bee Colony (ABC) algorithms in order to show the superior capability of the proposed SOA in regulating the PID controller. The simulation results emphasize the better performance of the optimized PID controller based on SOA compared to the PID controller optimized with PSO, GA and ABC algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=load-frequency%20control" title="load-frequency control">load-frequency control</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20zone" title=" multi zone"> multi zone</a>, <a href="https://publications.waset.org/abstracts/search?q=robust%20PID%20controller" title=" robust PID controller"> robust PID controller</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20generation" title=" wind generation"> wind generation</a> </p> <a href="https://publications.waset.org/abstracts/52309/improvement-of-the-robust-proportional-integral-derivative-pid-controller-parameters-for-controlling-the-frequency-in-the-intelligent-multi-zone-system-at-the-present-of-wind-generation-using-the-seeker-optimization-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52309.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">303</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">17764</span> Artificial Neural Networks Controller for Power System Voltage Improvement </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sabir%20Messalti">Sabir Messalti</a>, <a href="https://publications.waset.org/abstracts/search?q=Bilal%20Boudjellal"> Bilal Boudjellal</a>, <a href="https://publications.waset.org/abstracts/search?q=Azouz%20Said"> Azouz Said</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, power system Voltage improvement using wind turbine is presented. Two controllers are used: a PI controller and Artificial Neural Networks (ANN) controllers are studied to control of the power flow exchanged between the wind turbine and the power system in order to improve the bus voltage. The wind turbine is based on a doubly-fed induction generator (DFIG) controlled by field-oriented control. Indirect control is used to control of the reactive power flow exchanged between the DFIG and the power system. The proposed controllers are tested on power system for large voltage disturbances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks%20controller" title="artificial neural networks controller">artificial neural networks controller</a>, <a href="https://publications.waset.org/abstracts/search?q=DFIG" title=" DFIG"> DFIG</a>, <a href="https://publications.waset.org/abstracts/search?q=field-oriented%20control" title=" field-oriented control"> field-oriented control</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=power%20system%20voltage%20improvement" title=" power system voltage improvement"> power system voltage improvement</a> </p> <a href="https://publications.waset.org/abstracts/14265/artificial-neural-networks-controller-for-power-system-voltage-improvement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14265.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">462</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">17763</span> A Development of Holonomic Mobile Robot Using Fuzzy Multi-Layered Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seungwoo%20Kim">Seungwoo Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Yeongcheol%20Cho"> Yeongcheol Cho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a holonomic mobile robot is designed in omnidirectional wheels and an adaptive fuzzy controller is presented for its precise trajectories. A kind of adaptive controller based on fuzzy multi-layered algorithm is used to solve the big parametric uncertainty of motor-controlled dynamic system of 3-wheels omnidirectional mobile robot. The system parameters such as a tracking force are so time-varying due to the kinematic structure of omnidirectional wheels. The fuzzy adaptive control method is able to solve the problems of classical adaptive controller and conventional fuzzy adaptive controllers. The basic idea of new adaptive control scheme is that an adaptive controller can be constructed with parallel combination of robust controllers. This new adaptive controller uses a fuzzy multi-layered architecture which has several independent fuzzy controllers in parallel, each with different robust stability area. Out of several independent fuzzy controllers, the most suited one is selected by a system identifier which observes variations in the controlled system parameter. This paper proposes a design procedure which can be carried out mathematically and systematically from the model of a controlled system. Finally, the good performance of a holonomic mobile robot is confirmed through live tests of the tracking control task. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20adaptive%20control" title="fuzzy adaptive control">fuzzy adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20multi-layered%20controller" title=" fuzzy multi-layered controller"> fuzzy multi-layered controller</a>, <a href="https://publications.waset.org/abstracts/search?q=holonomic%20mobile%20robot" title=" holonomic mobile robot"> holonomic mobile robot</a>, <a href="https://publications.waset.org/abstracts/search?q=omnidirectional%20wheels" title=" omnidirectional wheels"> omnidirectional wheels</a>, <a href="https://publications.waset.org/abstracts/search?q=robustness%20and%20stability." title=" robustness and stability. "> robustness and stability. </a> </p> <a href="https://publications.waset.org/abstracts/43824/a-development-of-holonomic-mobile-robot-using-fuzzy-multi-layered-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43824.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">359</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">17762</span> Implementation of Model Reference Adaptive Control in Tuning of Controller Gains for Following-Vehicle System with Fixed Time Headway</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatemeh%20Behbahani">Fatemeh Behbahani</a>, <a href="https://publications.waset.org/abstracts/search?q=Rubiyah%20Yusof"> Rubiyah Yusof</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To avoid collision between following vehicles and vehicles in front, it is vital to keep appropriate, safe spacing between both vehicles over all speeds. Therefore, the following vehicle needs to have exact information regarding the speed and spacing between vehicles. This project is conducted to simulate the tuning of controller gain for a vehicle-following system through the selected control strategy, spacing control policy and fixed-time headway policy. In addition, the paper simulates and designs an adaptive gain controller for a road-vehicle-following system which uses information on the spacing, velocity and also acceleration of a preceding vehicle in the proposed one-vehicle look-ahead strategy. The mathematical model is implemented using Kirchhoff and Newton’s Laws, and stability simulated. The trial-error method was used to obtain a suitable value of controller gain. However, the adaptive-based controller system was able to optimize the gain value automatically. Model Reference Adaptive Control (MRAC) is designed and utilized and based on firstly the Gradient and secondly the Lyapunov approach. The Lyapunov approach considers stability. The Gradient approach was found to improve the best value of gain in the controller system with fixed-time headway. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=one-vehicle%20look-ahead" title="one-vehicle look-ahead">one-vehicle look-ahead</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20reference%20adaptive" title=" model reference adaptive"> model reference adaptive</a>, <a href="https://publications.waset.org/abstracts/search?q=stability" title=" stability"> stability</a>, <a href="https://publications.waset.org/abstracts/search?q=tuning%20gain%20controller" title=" tuning gain controller"> tuning gain controller</a>, <a href="https://publications.waset.org/abstracts/search?q=MRAC" title=" MRAC"> MRAC</a> </p> <a href="https://publications.waset.org/abstracts/78271/implementation-of-model-reference-adaptive-control-in-tuning-of-controller-gains-for-following-vehicle-system-with-fixed-time-headway" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78271.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">238</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">17761</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">17760</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">17759</span> A Multiobjective Damping Function for Coordinated Control of Power System Stabilizer and Power Oscillation Damping</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jose%20D.%20Herrera">Jose D. Herrera</a>, <a href="https://publications.waset.org/abstracts/search?q=Mario%20A.%20Rios"> Mario A. Rios</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with the coordinated tuning of the Power System Stabilizer (PSS) controller and Power Oscillation Damping (POD) Controller of Flexible AC Transmission System (FACTS) in a multi-machine power systems. The coordinated tuning is based on the critical eigenvalues of the power system and a model reduction technique where the Hankel Singular Value method is applied. Through the linearized system model and the parameter-constrained nonlinear optimization algorithm, it can compute the parameters of both controllers. Moreover, the parameters are optimized simultaneously obtaining the gains of both controllers. Then, the nonlinear simulation to observe the time response of the controller is performed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electromechanical%20oscillations" title="electromechanical oscillations">electromechanical oscillations</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20system%20stabilizers" title=" power system stabilizers"> power system stabilizers</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20oscillation%20damping" title=" power oscillation damping"> power oscillation damping</a>, <a href="https://publications.waset.org/abstracts/search?q=hankel%20singular%20values" title=" hankel singular values"> hankel singular values</a> </p> <a href="https://publications.waset.org/abstracts/58164/a-multiobjective-damping-function-for-coordinated-control-of-power-system-stabilizer-and-power-oscillation-damping" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58164.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">592</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=PLC%20Controller%20System&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=PLC%20Controller%20System&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=PLC%20Controller%20System&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=PLC%20Controller%20System&page=5">5</a></li> <li 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