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

• Published in: IEEE transactions on energy conversion Vol. 39; no. 1; pp. 1 - 10
• Main Authors: Sun, Xiaodong, Zhu, Yiliang, Cai, Yingfeng, Yao, Ming, Sun, Yueping, Lei, Gang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Control methods; Control systems; Cost function; Dynamic response; Electric motors; Electric potential; Fourier series; Model predictive torque control; Predictive control; Predictive models; Reluctance; Ripples; Robust control; Robustness; Rotors; Series expansion; Sliding mode control; sliding mode controller; switched reluctance motor; Torque; Torque control; Torque measurement; torque ripple; Voltage
• ISSN: 0885-8969; 1558-0059
• DOI: 10.1109/TEC.2023.3301000

In this paper, 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.