Study on Parameters Optimization of Quasi-PR Controller for SPWM Inverter Using Niching PSO Algorithm
WANG Yong-lin
AI Ming
QU Bo-yang
Abstract：A parameter design method of the quasi proportional-resonant ( PR) controller of a single-phase volt-age SPWM inverter using an improved niching particle swarm optimization ( PSO) algorithm is studied in this paper. The inverter adapts the double closed-loop control strategy with the instantaneous output voltage and inductor-current feedback. PR control strategy can overcome the disadvantages of the traditional PI control strategy which can not elimi-nate the steady-state error of AC input. However, there are some questions in designing for PR controller. The mathe-matical model and system structure of the SPWM inverter with LCL output filter are given. A niching PSO algorithm is presented which uses cataclysm operator, emigration operator and isolation operator to maintain the diversity of the popu-lation and improve the global optimizing ability. The steps of optimizing the parameters of PR controller using niching PSO algorithm are demonstrated. In comparison with open-loop control method and PI control method, the test results verify the performance of the proposed method.
Keywords：SPWMinverterniching algorithmparticle swarm optimizationquasi-PR controlLCL filter
Publication Date：2015-05-02
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 13-18 )