A self-tuning controller for switched reluctance machines

Author

Russa, Krzysztof ; Husain, Iqbal ; Elbuluk, Malik

Author_Institution

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

Volume

2

fYear

1998

fDate

17-22 May 1998

Firstpage

1269

Abstract

A self-tuning controller for switched reluctance machines is presented. A torque ripple minimizing controller is implemented with the on-line system identification and adaptation technique. The controller uses a nonlinear model of the machine which is updated on-line using a recursive identification algorithm. The real-time approach improves the overall robustness of the system. Experimental results are presented to validate the self-tuning algorithm

Keywords

control system synthesis; machine control; reluctance motors; robust control; self-adjusting systems; torque control; nonlinear machine model; on-line system identification; overall robustness; real-time approach; recursive identification algorithm; self-tuning algorithm; self-tuning controller; switched reluctance machines; switched reluctance motor; torque ripple minimizing controller; Control systems; Couplings; Equations; Linear feedback control systems; Real time systems; Reluctance machines; Robustness; Signal processing algorithms; Stators; Torque control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Specialists Conference, 1998. PESC 98 Record. 29th Annual IEEE

Conference_Location

Fukuoka

ISSN

0275-9306

Print_ISBN

0-7803-4489-8

Type

conf

DOI

10.1109/PESC.1998.703169

Filename

703169