Optimization Design of Power Factor Correction Converter Based on Genetic Algorithm

A small-signal model is used to design the controller parameters of the conventional Power Factor Correction (PFC) converter. The dynamics of the converter is nonlinear, therefore, it is hard to derive desirable performance. Genetic algorithm is used to optimize the control parameters of PFC converter in this paper, by this way, the quasi-optimal control parameters can be obtained with the predefined fitness criterion. In order to obtain the fitness of an individual, Simulink model of the PFC converter is established and called in manuscript file of the Matlab, in which the genetic algorithms is programmed to search the optimal control parameters. Simulation results indicate that the overshoot of the voltage transient response, the Total Harmonic Distortion (THD) is reduced by using the optimized parameters. The proposed method provides a common method for the optimal design of the (structure and control parameters of) converter.