Title :
A self-tuning controller for switched reluctance motors
Author :
Russa, K. ; Husain, I. ; Elbuluk, M.E.
Author_Institution :
Johnson Controls Inc., Holland, MI, USA
fDate :
5/1/2000 12:00:00 AM
Abstract :
A self-tuning controller for switched reluctance motors is presented, A torque ripple minimizing controller is implemented with online system identification and adaptation technique. The controller uses a nonlinear model of the machine that is updated online 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; identification; machine control; machine testing; machine theory; reluctance motors; robust control; self-adjusting systems; torque control; adaptation technique; nonlinear model; online system identification; real-time approach; recursive identification algorithm; robustness; self-tuning controller; switched reluctance motors; torque ripple minimizing controller; Couplings; Current measurement; Equations; Reluctance machines; Rotors; Stators; System identification; Taylor series; Torque control; Voltage control;
Journal_Title :
Power Electronics, IEEE Transactions on
