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 (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.