Particle Swarm Optimization and Genetic Algorithm to Optimizing the Pole Placement Controller on Cuk Converter
Publish place: 2nd National Electrical Engineering
Publish Year: 1388
Type: Conference paper
Language: English
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NEEC02_171
Index date: 27 January 2010
Particle Swarm Optimization and Genetic Algorithm to Optimizing the Pole Placement Controller on Cuk Converter abstract
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 Control 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.
Particle Swarm Optimization and Genetic Algorithm to Optimizing the Pole Placement Controller on Cuk Converter Keywords:
Particle Swarm Optimization and Genetic Algorithm to Optimizing the Pole Placement Controller on Cuk Converter authors
M. R. Yousefi
Electrical Engineering Department, Islamic Azad University, Najafabad Branch, Iran
M Bayati Poudeh
Electrical Engineering Department, Islamic Azad University, Najafabad Branch, Iran
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