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A torque-ripple minimization technique for switched reluctance motors (SRM's) is presented. The technique is particularly suitable for applications requiring wide speed range of operation. A new, simple, yet efficient commutation strategy is proposed. The commutation algorithm is speed dependent and uses a real-time approach instead of precalculated stored data. The model used for the SRM in the controller can also be updated in real time. Simulation and experimental results verify the feasibility of implementing the proposed control algorithm in real time. Index Terms - Switched reluctance machines, switched reluctance machine control, torque-ripple minimization.

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 recursive identification algorithm. The real-time approach improves the overall robustness of the system. Experimental results are presented to validate the self-tuning algorithm. Index Terms--Self-timing controller, switched reluctance motor drive, torque-ripple minimization.