A Novel Fuzzy Controller for Switched Reluctance Motor Drive

Author

Wang, Yiwang

Author_Institution

Dept. of Electr. & Inf. Eng., Suzhou Vocational Univ., Suzhou, China

Volume

2

fYear

2009

fDate

21-22 May 2009

Firstpage

55

Lastpage

58

Abstract

There are serious nonlinear, variable strongly coupling characteristic in switched reluctance motor (SRM), and its electromagnetic relationship is hard to analyze. According to the nonlinear inductance model of SRM, a control system for SRM is carried out based on the variable universe fuzzy theory, which can modify universe according to the change of inputs. A complete simulation model of a switched reluctance motor control system based on the novel fuzzy controllers was established using Matlab/Simulink/PSB toolbox, and the simulation results show this control system has satisfactory performance.

Keywords

fuzzy control; machine control; nonlinear control systems; reluctance motor drives; Matlab-Simulink-PSB toolbox; SRM control system; fuzzy controller; nonlinear coupling characteristics; nonlinear inductance model; switched reluctance motor drive; variable universe fuzzy theory; Control system synthesis; Electric variables control; Electromagnetic analysis; Electromagnetic coupling; Fuzzy control; Fuzzy systems; Inductance; Mathematical model; Reluctance machines; Reluctance motors;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.122

Filename

5169006