Optimal Feedback Linearization Control of PEM Fuel Cell

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Control of PEM Fuel Cell</title> <meta name="description" content="Optimal Feedback Linearization Control of PEM Fuel Cell"> <meta name="keywords" content="nonlinear dynamic model, polymer electrolyte membrane fuel cells, feedback linearization, optimal control, NSGA_II "> <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 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publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Optimal Feedback Linearization Control of PEM Fuel Cell</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Shahsavari">E. Shahsavari</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Ghasemi"> R. Ghasemi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Akramizadeh"> A. Akramizadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a new method to design nonlinear feedback linearization controller for polymer electrolyte membrane fuel cells (PEMFCs). A nonlinear controller is designed based on nonlinear model to prolong the stack life of PEM fuel cells. Since it is known that large deviations between hydrogen and oxygen partial pressures can cause severe membrane damage in the fuel cell, feedback linearization is applied to the PEM fuel cell system so that the deviation can be kept as small as possible during disturbances or load variations. To obtain an accurate feedback linearization controller, tuning the linear parameters are always important. So in proposed study NSGA_II method was used to tune the designed controller in aim to decrease the controller tracking error. The simulation result showed that the proposed method tuned the controller efficiently. <iframe src="https://publications.waset.org/abstracts/15478.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20dynamic%20model" title="nonlinear dynamic model">nonlinear dynamic model</a>, <a href="https://publications.waset.org/abstracts/search?q=polymer%20electrolyte%20membrane%20fuel%20cells" title=" polymer electrolyte membrane fuel cells"> polymer electrolyte membrane fuel cells</a>, <a href="https://publications.waset.org/abstracts/search?q=feedback%20linearization" title=" feedback linearization"> feedback linearization</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=NSGA_II" title=" NSGA_II "> NSGA_II </a> </p> <a 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Optimal Feedback Linearization Control of PEM Fuel Cell