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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Main Authors: K. S. , Rama Rao, Azhar, Nur Syahirah Mohd, Hamid, Nor Hisham
Format: Article
Published: PRAISE WORTHY PRIZE PUBLICATION, Italy 2011
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Online Access:http://eprints.utp.edu.my/6510/
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spelling 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/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle 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
description 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/
_version_ 1738655493301207040
score 13.211869