Extended Speed Current Profiling Algorithm for Low Torque Ripple SRM Using Model Predictive Control

In this work a current profiling algorithm based on semi-numerical model of switched reluctance machine (SRM) is proposed for torque ripple minimization. For extending the low ripple torque control even at higher speeds, the algorithm is developed by keeping both torque ripple and the controller's bandwidth requirements into consideration. The algorithm has a predictive current controller implemented in conjunction with a high accuracy lookup table (LUT) based semi-numerical machine model. A slew rate based analysis shows the effect of the predictive controller's bandwidth on current profile tracking. Simulations are carried out in Matlab/Simulink and results show improved performance with the proposed algorithm at higher speeds than the existing method. As a result, the proposed algorithm provides low ripple torque control opportunity for SRMs over extended speed range.