Title :
Optimization Design of Power Factor Correction Converter Based on Genetic Algorithm
Author :
Ren, Hai Peng ; Zheng, Ting
Author_Institution :
Fac. of Autom. & Inf. Eng., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
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.
Keywords :
genetic algorithms; harmonic distortion; optimal control; power convertors; power factor correction; power system control; power system transients; Matlab; Simulink model; controller parameter design; genetic algorithm; optimization design; power factor correction converter; quasioptimal control parameter; small-signal model; total harmonic distortion; voltage transient response; Converters; Integrated circuit modeling; Mathematical model; Optimization; Simulation; Steady-state; Voltage control; average current control; control parameter optimization; genetic algorithm; power factor correction;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.79
