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Particle swarm optimization and genetic algorithm to optimizing the pole placement controller on Cuk converter

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4 Author(s)
Yousefi, M.R. ; Electr. Eng. Dept., Islamic Azad Univ.(Najafabad Branch), Najafabad ; Emami, S.A. ; Eshtehardiha, S. ; Poudeh, M.Bayati

In this paper a novel method to the design of pole placement controller for Cuk converters is presented.This optimized method can control the voltage of DC-DC converter. In this method, average model of converter is employed and it is possible to approximate the system by a linear system and then linear control methods can be used. Pole placement as one of these methods is designed by a systematic methodology based on genetic algorithm (GA) and particle swarm optimization (PSO). The proposed controllers were simultaneously designed and they have provided a coordinated control action and a satisfactory performance for the Cuk converter, as shown in the results.

Published in:

Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International

Date of Conference:

1-3 Dec. 2008