A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques
This paper presents a comparative study by three intelligent optimization techniques to accurately determine the optimal control parameters of a 1 MHz LLC resonant dc-dc converter aimed at minimizing the losses. Three evolutionary optimization techniques viz., Scatter Search (SS), Genetic Algorithm...
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PRAISE WORTHY PRIZE PUBLICATION, Italy
2011
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my.utp.eprints.65102014-03-31T17:05:12Z A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques K. S. , Rama Rao Azhar, Nur Syahirah Mohd Hamid, Nor Hisham TK Electrical engineering. Electronics Nuclear engineering This paper presents a comparative study by three intelligent optimization techniques to accurately determine the optimal control parameters of a 1 MHz LLC resonant dc-dc converter aimed at minimizing the losses. Three evolutionary optimization techniques viz., Scatter Search (SS), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are employed to derive the optimal control parameters of the resonant converter and the results obtained are compared in terms of efficiency. After deriving the optimal parameters, simulation studies are carried out using MATLAB /SIMULINK modeling approach to analyze the performance of the resonant converter. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved. PRAISE WORTHY PRIZE PUBLICATION, Italy 2011-04 Article PeerReviewed K. S. , Rama Rao and Azhar, Nur Syahirah Mohd and Hamid, Nor Hisham (2011) A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques. International Review of Modelling and Simulations (IREMOS), 4 (2). pp. 547-554. ISSN ISSN:1974-9821 http://eprints.utp.edu.my/6510/ |
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TK Electrical engineering. Electronics Nuclear engineering K. S. , Rama Rao Azhar, Nur Syahirah Mohd Hamid, Nor Hisham A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques |
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This paper presents a comparative study by three intelligent optimization techniques to accurately determine the optimal control parameters of a 1 MHz LLC resonant dc-dc converter aimed at minimizing the losses. Three evolutionary optimization techniques viz., Scatter Search (SS), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are employed to derive the optimal control parameters of the resonant converter and the results obtained are compared in terms of efficiency. After deriving the optimal parameters, simulation studies are carried out using MATLAB /SIMULINK modeling approach to analyze the performance of the resonant converter. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved. |
format |
Article |
author |
K. S. , Rama Rao Azhar, Nur Syahirah Mohd Hamid, Nor Hisham |
author_facet |
K. S. , Rama Rao Azhar, Nur Syahirah Mohd Hamid, Nor Hisham |
author_sort |
K. S. , Rama Rao |
title |
A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques |
title_short |
A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques |
title_full |
A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques |
title_fullStr |
A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques |
title_full_unstemmed |
A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques |
title_sort |
comparative study on optimal design of llc resonant converter by intelligent optimization techniques |
publisher |
PRAISE WORTHY PRIZE PUBLICATION, Italy |
publishDate |
2011 |
url |
http://eprints.utp.edu.my/6510/ |
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1738655493301207040 |
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13.211869 |