Fuzzy logic torque ripple minimization of switched reluctance motors

In this paper, a fundamental control issue in switched reluctance motor (SRM), the torque ripples, is addressed. Normally, torque ripple minimization is achieved by using look-up tables, i.e., the look-up table uses stored magnetic characteristics to provide the reference current, on-angle, and off-angle for a given torque. Due to highly nonlinear characteristics of the SRM, all the techniques suggested in the past to minimize torque ripples are not fully successful. In this work, the reference phase current term is modulated with the aid of fuzzy logic which is well suited to compensate for the nonlinearities the system, so that the torque ripples are further suppressed. Performance of the proposed strategy is verified by computer simulation.