Torque ripple reduction of switched reluctance motor using PID fuzzy logic controller

Author

Beromi, Yousef Alinejad ; Moravej, Zahra ; Darabi, Soheil

Author_Institution

Dept. of Elec. & Compo Eng., Semnan Univ., Semnan, Iran

fYear

2012

fDate

25-27 Oct. 2012

Firstpage

456

Lastpage

459

Abstract

Switched reluctance motor (SRM) is good alternative for electric vehicle (EV) because of its known advantages like less mass, concentrated phase windings, improvements in power electronics technology, etc. In this study, a PID fuzzy logic controller (FLC) is proposed to reduce the torque ripple of SRM that has two inputs 1) the integration of the speed error 2) the sum of the speed error and the derivative of the speed error. The Mamdani type is used for the fuzzy inference system and the defuzzification type is bisector. The simulation results show the small ripple of the rotational speed and better electromagnetic torque of the SRM with the proposed FLC.

Keywords

electric vehicles; fuzzy control; fuzzy reasoning; machine control; machine windings; reluctance motors; three-term control; torque motors; EV; FLC; Mamdani type; PID fuzzy logic controller; SRM; defuzzification type; electric vehicle; electromagnetic torque; fuzzy inference system; phase windings; power electronics technology; speed error; speed error integration; switched reluctance motor; torque ripple reduction; Control systems; Electromagnetics; Fuzzy logic; Switched reluctance motors; Torque; FLC; PID; SRM;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Power Engineering (EPE), 2012 International Conference and Exposition on

Conference_Location

Iasi

Print_ISBN

978-1-4673-1173-1

Type

conf

DOI

10.1109/ICEPE.2012.6463587

Filename

6463587