eprintid: 2331
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/23/31
datestamp: 2023-11-09 15:50:33
lastmod: 2023-11-09 15:50:33
status_changed: 2023-11-09 15:42:31
type: article
metadata_visibility: show
creators_name: Rama Rao, K.S.
creators_name: Azhar, N.S.M.
creators_name: Hamid, N.H.
title: A comparative study on optimal design of LLC resonant converter by intelligent optimization techniques
ispublished: pub
note: cited By 6
abstract: 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. © 2011 Praise Worthy Prize S.r.l. - All rights reserved.
date: 2011
publisher: Praise Worthy Prize S.r.l
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80155179668&partnerID=40&md5=4b54af1b9b7f2ee5787f876b6471ba4c
full_text_status: none
publication: International Review on Modelling and Simulations
volume: 4
number: 2
pagerange: 547-554
refereed: TRUE
issn: 19749821
citation:   Rama Rao, K.S. and Azhar, N.S.M. and Hamid, N.H.  (2011) A comparative study on optimal design of LLC resonant converter by intelligent optimization techniques.  International Review on Modelling and Simulations, 4 (2).  pp. 547-554.  ISSN 19749821