Torque ripple minimization in switched reluctance motors using adaptive fuzzy control

Author

Mir, Sayeed ; Elbuluk, Malik ; Husain, Iqbal

Author_Institution

Dept. of Electr. Eng., Akron Univ., OH, USA

Volume

1

fYear

1997

fDate

5-9 Oct 1997

Firstpage

571

Abstract

An adaptive fuzzy control scheme for torque ripple minimization of switched reluctance machines (SRM) is presented. The fuzzy parameters are initially chosen randomly and then adjusted to optimize the control. The controller produces smooth torque upto the motor base speed. The torque is generated over the maximum positive torque producing region of a phase. This increases the torque density and avoids high current peaks. The controller is robust towards errors in the rotor position information which means inexpensive crude position sensors can be used. Detailed simulation and experimental results are presented. The controller shows good response in both cases

Keywords

adaptive control; control system synthesis; controllers; fuzzy control; machine control; optimal control; reluctance motors; rotors; torque; adaptive fuzzy control; control optimisation; controller; fuzzy parameters adjustment; maximum positive torque producing region; rotor position information; smooth torque; switched reluctance motors; torque generation; torque ripple minimization; Adaptive control; Commutation; Error correction; Fuzzy control; Programmable control; Reluctance machines; Reluctance motors; Robust control; Rotors; Torque control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 1997. Thirty-Second IAS Annual Meeting, IAS '97., Conference Record of the 1997 IEEE

Conference_Location

New Orleans, LA

ISSN

0197-2618

Print_ISBN

0-7803-4067-1

Type

conf

DOI

10.1109/IAS.1997.643125

Filename

643125