Fuzzy Fractional Order Controller Optimal Design for PMSM of Electric Vehicle in Sports Competition

Author

Yuchun, Huang ; Jianping, Wen

Author_Institution

Sch. of Phys. Culture, Henan Univ. of Technol., Zhengzhou, China

fYear

2012

fDate

July 31 2012-Aug. 2 2012

Firstpage

439

Lastpage

441

Abstract

This paper presents a novel fuzzy fractional controller (FOC) optimal design scheme for permanent magnet synchronous motor (PMSM) of electric vehicle (EV) by using particle swarm optimization algorithm (PSO). The key of fuzzy FOC design is the design of fuzzy rules under expert experience. The performance of fuzzy FOC is degraded because of expert experience. In this paper, PSO is used to optimize the parameters of membership functions to automatically acquire the fuzzy space structure of system, but fuzzy rules remain the same. The simulation results verify that the optimal fuzzy FOC has the fine robust and good dynamic performance under parameters variations and external disturbances.

Keywords

control system synthesis; electric vehicles; fuzzy control; fuzzy set theory; machine control; optimal control; particle swarm optimisation; permanent magnet motors; synchronous motors; EV; FOC; PMSM; PSO; electric vehicle; expert experience; external disturbances; fuzzy fractional controller optimal design scheme; fuzzy rules; fuzzy space structure; membership functions; parameters variations; particle swarm optimization algorithm; permanent magnet synchronous motor; sports competition; Equations; Fuzzy control; Mathematical model; Optimization; Particle swarm optimization; Permanent magnet motors; Torque; Fractional order; Fuzzy control; Particle swarm optimization; Permanent magnet synchronous motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on

Conference_Location

GuiLin

Print_ISBN

978-1-4673-2217-1

Type

conf

DOI

10.1109/ICDMA.2012.105

Filename

6298550