Torque Predictive Control Based on an Improved Finite Control Set Model of Switched Reluctance Motor

To improve the performance of control systems used with switched reluctance motors (SRMs), a sensorless finite control set model predictive control (FCS-MPC) strategy has been proposed in this paper. First, high-frequency pulse signals are injected into the non-conduction interval. Second, the inductance information associated with the non-conduction interval is obtained using the current slope method, and the rotor speed and position of the SRM are estimated accurately according to the obtained inductance information. Finally, the FCS-MPC control strategy is used to further reduce the torque ripple and copper loss. The simulation results show that the proposed sensorless control strategy can allow SRMs to run reliably and stably while achieving effective speed and torque control. In contrast to the traditional sensorless control strategy, the proposed method delivers better performance in torque ripple reduction and robustness.