Abstract

Switched reluctance machines (SRMs) have proven to be reliable, efficient and cost effective over other conventional motors. However, its major drawback lies in its highly nonlinear characteristics which makes it to produce torque ripples, acoustic noise and vibration. A number of methods have been proposed for the minimization of the ripples produced by either changing and improving the structure and geometry of the motor or via a number of control strategies. Artificial intelligence techniques have also been explored for the minimization of these ripples. This paper reviews the state of the art on various control strategies for torque ripple minimization of the SRM. It is expected that this review paper will serve as an underlying platform for researchers meaning to traverse control of SRMs for further improvement.