Three-Vector-Based Model Predictive Torque Control for a Permanent Magnet Synchronous Motor of EVs

This article presents an optimal control strategy for a permanent magnet synchronous motor (PMSM) drive using three voltage vectors. First, in order to simultaneously control torque and flux excellently, three voltage vectors including two active vectors and one zero voltage vector are selected. Second, the duration of the three voltage vectors in one period is calculated by the principle of simultaneous deadbeat control of torque and flux. Moreover, the cost function which eliminates the weight coefficient is proposed to reduce the amount of calculation. Finally, the proposed method is compared with the one- and two-vector-based model predictive torque control (MPTC) methods both in simulation and experiment. It is found that the proposed three-vector-based MPTC can obtain better performance such as smaller torque ripple and current total harmonic distortion (THD) both in steady and dynamic states.

• Record URL:
  http://dx.doi.org/10.1109/TTE.2021.3053256
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23327782
• Supplemental Notes:
  • Copyright © 2021, IEEE.
• Authors:
  • Chen, Long
  • 0000-0002-2079-3867
  • Xu, Hao
  • 0000-0002-1382-5680
  • Sun, Xiaodong
  • 0000-0002-9451-3311
  • Cai, Yingfeng
  • 0000-0002-0633-9887
• Publication Date: 2021-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1454-1465
• Serial:
  • IEEE Transactions on Transportation Electrification
  • Volume: 7
  • Issue Number: 3
  • 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; Electric vehicles; Torque; Vector analysis; Voltage
• Identifier Terms: Model Predictive Control; Permanent magnet synchronous motor (PMSM)
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01785949
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 26 2021 2:25PM