Adaptive torque-ripple minimization in switched reluctance motors

This paper addresses torque-ripple reduction in current-fed switched reluct ance motors (SRMs), Ripple-free torque production in SRMs requires an accur ate model that is often tao complex for practical implementation. The algor ithm proposed here combines the use of a simplified model with adaptation. Explicitly, it includes dynamic estimation of low harmonics of the combined unknown load torque and the ripple in the produced torque (due to model si mplification), and adds appropriate terms to the commanded current to cance l these harmonics, Several simulations are presented first, suggesting that our method is effective for constant-speed reference commands, even when a very simple model is used in control design. Experimental results are incl uded next to demonstrate that the algorithm performs well in reducing the t orque ripple. Finally, limitations of the adaptive algorithm are explored a nd quantified.