Abstract: Switched reluctance motor(SRM) is often accompanied by large noise and torque ripple in the process of application. To solve this problem, this parper combines error compensation-based torque sharing function(TSF) with model predictive control(MPC) to reduce the torque ripple of the motor. The reference torque is computed by the speed controller and compared with the estimated torque signal to derive the torque error, which is subsequently utilized for compensating the reference torque. Based on parameters such as current, voltage,and rotor position, the MPC module predicts the torque for the next moment. By combining error compensation TSF with MPC control and using a cost function to select the optimal switching state, it precisely controls the conduction and switching off of power switching devices.A simulation model is constructed based on a three-phase switched reluctance motor, and the comparison of experimental results show that this method not only significantly improves the total torque pulsation of the motor, but also effectively reduces the mean value of the phase current, reduces the operating loss of the motor, and further improves the smooth and efficient operation of the motor.

    Key words: switched reluctance motor; error compensation; torque sharing function; model predictive control; torque ripple suppression