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Multi-Vector-Based Model Predictive Current Control with Zero-Sequence Current Suppression for Three-Phase Series-End Winding Permanent Magnet Synchronous Motor Drives

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

To suppress the zero-sequence current and enhance the steady-state performance of the three-phase series-end winding permanent magnet synchronous motor (TPSW-PMSM) drives, a multi-vector-based model predictive current control scheme with zero-sequence current suppression is developed in this paper. The concept of the desired voltage is utilized to preselect the candidate voltage vectors and offer the guidance of the geometric division of the sector. In one sampling period, multi-voltage vectors are employed, and the combinations include one active voltage vector and one null voltage vector, and two active voltage vectors, which improves the steady-state performance. Meanwhile, the duty cycle of each voltage vector is derived based on an intuitive geometric expression of the cost function. Further, the relationship between the zero-sequence voltage injection and the switching sequence is revealed, and it is employed to suppress the zero-sequence current actively. In addition, overmodulation operation is also taken into consideration in the proposed scheme. Finally, the experimental study validates the effectiveness of the proposed scheme. © 2022 IEEE.
Original languageEnglish
Pages (from-to)3282-3294
JournalIEEE Transactions on Transportation Electrification
Volume9
Issue number2
Online published7 Nov 2022
DOIs
Publication statusPublished - Jun 2023

Funding

This work was supported in part by a grant (Project No. 52077186) from Natural Science Foundation of China (NSFC), China; in part by a grant (Project No. JCYJ20210324134005015) from the Science Technology and Innovation Committee of Shenzhen Municipality, Shenzhen, China; in part by a grant (Project No. ITP/027/19AP) from the Innovation and Technology Commission, Hong Kong SAR; in part by a Collaborative Research Fund (Project No. C1052-21GF) from the Research Grants Council, Hong Kong SAR; and in part by RGC Research Fellow Scheme (RGC Ref. No.: RFS2223-1S05) from Research Grants Council, Hong Kong SAR. (*Corresponding author: Chunhua Liu)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Legged locomotion
  • model predictive control (MPC)
  • Motor drives
  • multi-vector
  • permanent magnet synchronous machine (PMSM)
  • Series-end winding topology
  • Topology
  • Transportation
  • Voltage
  • Voltage control
  • Windings
  • zero-sequence current

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2022 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. Dong, Z., Chen, Y., Feng, K., & Liu, C. (2022). Multi-Vector-Based Model Predictive Current Control with Zero-Sequence Current Suppression for Three-Phase Series-End Winding Permanent Magnet Synchronous Motor Drives. IEEE Transactions on Transportation Electrification, 9(2), 3282-3294. https://doi.org/10.1109/TTE.2022.3220591.

RGC Funding Information

  • RGC-funded

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