A Novel Predictive Torque Controller for Switched Reluctance Motor Drives

This paper proposes a novel deadbeat predictive torque control (DPTC) scheme to minimize the torque ripple of switched reluctance motor (SRM) drives. The proposed DPTC consists of torque inverse model and flux-linkage controller. The torque inverse model is used to realize the nonlinear mapping from the desired torque to the flux-linkage. On this basis, the flux-linkage controller predicts the required voltage for a given reference torque at each digital time step. Besides, an improved pulse width modulation (PWM) control is developed to offset the losses caused by power converter and winding resistance. And the digital delay in the actual implementation of the proposed DPTC algorithm is compensated through the estimation + prediction technology. Both simulation and experimental testing are carried out to verify the effectiveness of the proposed control scheme. The results show that the proposed DPTC method has better torque ripple suppression performance than the conventional direct torque control (DTC) scheme. (c) 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.