Multimode Model Predictive Control for PMSM Drive System

In order to improve the control performance of the motor model predictive control (MPC) system, a multimode hybrid-vector MPC strategy is proposed in this article, which is developed from the conventional double-vector MPC strategy. The proposed method extends the last voltage vector of the previous control period to the present control period according to the relationship between the last voltage vector of the previous control period and the first voltage vector of the present control period. Then, two voltage vectors or three voltage vectors are included in each control period, which forms the concept of the hybrid vector. Since a voltage vector is inherited from the previous control period, the proposed method can achieve better steady-state control performance at a lower switching frequency, considering the two adjacent control periods as a whole. Finally, comparative experiments demonstrate that the proposed method has better steady-state control performance at the same switching frequency.

• Record URL:
  • https://doi.org/10.1109/TTE.2022.3172140
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23327782
• Supplemental Notes:
  • Copyright © 2023, IEEE.
• Authors:
  • Zhang, Xiaoguang
  • 0000-0003-2430-9056
  • Zhang, Chenguang
  • 0000-0001-7970-5633
  • Xu, Chi
  • 0000-0002-3418-9222
  • Fan, Shengwen
• Publication Date: 2023-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 667-677
• Serial:
  • IEEE Transactions on Transportation Electrification
  • Volume: 9
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 2332-7782
  • Serial URL: http://ieeexplore.ieee.org/servlet/opac?punumber=6687316

Subject/Index Terms

• TRT Terms: Electric drives; Steady state; Vector analysis; Voltage
• Identifier Terms: Model Predictive Control; Permanent magnet synchronous motor (PMSM)
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01929031
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 28 2024 1:22PM