Research on fuzzy self-regulating PID controller for SRM speed system based on PSO algorithm

Author

Hui-quin Sun ; Yun Du ; Wei-Lu Zhu ; Su-Zhi Wang

Author_Institution

Sch. of Electr. Eng., Hebei Univ. of Technol., Tianjin, China

Volume

03

fYear

2013

fDate

14-17 July 2013

Firstpage

1363

Lastpage

1367

Abstract

Switched reluctance motor (SRM) is suitable for electro-mobile drive system for its simple structure and good reliability. And torque production is highly nonlinear function because of the doubly salient construction. To reduce the torque ripple, speed closed loop control are often used in SRM drive system. In this paper, a new kind of fuzzy self-regulating PID controller has developed to obtain better dynamic characteristics. It optimizes the quantizing factors and ratio factors of the fuzzy controller by PSO algorithm. MATLAB/Simulink 2010 is used for it has the SRM module. Results show that it can improve the settling time and overcome the overshoot of start process.

Keywords

angular velocity control; closed loop systems; fuzzy control; machine control; particle swarm optimisation; reliability; reluctance motor drives; three-term control; torque control; Matlab-Simulink 2010; PSO algorithm; SRM speed drive system; doubly salient construction; dynamic characteristics; electro-mobile drive system; fuzzy self-regulating PID controller; nonlinear function; quantizing factors; ratio factors; reliability; speed closed loop control; switched reluctance motor; torque production; torque ripple reduction; Abstracts; MATLAB; Niobium; Reliability; Switches; Fuzzy PID controller; Particle Swarm Optimization (PSO); Switched reluctance motor; parameters optimize;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2013 International Conference on

Conference_Location

Tianjin

Type

conf

DOI

10.1109/ICMLC.2013.6890798

Filename

6890798