Optimized-Sector-Based Model Predictive Torque Control With Sliding Mode Controller for Switched Reluctance Motor

In this article, an optimized-sector-based model predictive torque control (OSB-MPTC) strategy is proposed to reduce the torque ripple of the switched reluctance motors (SRMs). First, a phase torque estimation method based on the magnetic coenergy and Fourier series expansion is introduced. A new sector division rule and a selection of the basic voltage vector in predicting torque are then introduced. The cost function for minimizing torque error is designed to select the optimal voltage vector. In addition, a new reaching law is proposed to improve the robustness of the control system and the dynamic response of the speed loop. Finally, experiments are carried out on a 12/8 pole three-phase SRM prototype to verify the performance of the proposed control method in detail. Compared with the conventional model predictive control, the proposed OSB-MPTC with global robust sliding mode control has better performance in terms of suppression of the torque ripple, speed dynamic response, and robustness.