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

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.