A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM With Three-Level NPC Converter

Wang, Qi; Yu, Haitao; Li, Chen; Lang, Xiaoyu; Yeoh, Seang Shen; Yang, Tao; Rivera, Marco; Bozhko, Serhiy; Wheeler, Patrick

Abstract

Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.

Citation

Wang, Q., Yu, H., Li, C., Lang, X., Yeoh, S. S., Yang, T., Rivera, M., Bozhko, S., & Wheeler, P. (2020). A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM With Three-Level NPC Converter. IEEE Transactions on Transportation Electrification, 6(3), 1188-1198. https://doi.org/10.1109/TTE.2020.3012352

• Journal Article Type: Article
• Acceptance Date: Jul 21, 2020
• Online Publication Date: Jul 27, 2020
• Publication Date: 2020-09
• Deposit Date: Nov 4, 2020
• Publicly Available Date: Nov 4, 2020
• Journal: IEEE Transactions on Transportation Electrification
• Electronic ISSN: 2332-7782
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 6
• Issue: 3
• Pages: 1188-1198
• DOI: https://doi.org/10.1109/TTE.2020.3012352
• Public URL: https://nottingham-repository.worktribe.com/output/4928574
• Publisher URL: https://ieeexplore.ieee.org/document/9149930
• Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.