Title :
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
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;
Conference_Titel :
Power Electronics Specialists Conference, 1998. PESC 98 Record. 29th Annual IEEE
Conference_Location :
Fukuoka
Print_ISBN :
0-7803-4489-8
DOI :
10.1109/PESC.1998.703169
