Discrete Space Vector Modulation-based Model Predictive Current Control for PMSMs with Simplified Vector Preselection
ID:42 View Protection:PRIVATE Updated Time:2025-05-30 21:43:50 Hits:287 Oral

Start Time:2025-06-06 14:30(Asia/Shanghai)

Duration:15min

Session:O 2&5 Oral Session 2&5 » O 2&5Oral session 2&5

No files

Abstract
This paper proposed an improved discrete space vector modulation-based (DSVM-based) model predictive current control (MPCC) for permanent magnet synchronous machines (PMSMs) to reduce current/torque ripple and computation cost. Firstly, the control set is extended from 7 to 37 voltage vectors based on DSVM technical. Although the current/torque ripple is reduced remarkably, the computation cost inevitably increases significantly and thus deteriorating the implementation on microcontrollers. Then, the candidate voltage vectors are decreased to 4 from 37 by the proposed simplified vector preselection, hence significantly reducing computation cost. Finally, the conventional MPCC, the all vector DSVM-based MPCC, and the proposed DSVM-based MPCC are experimentally compared in a 2kW PMSM drive experimental platform.
Keywords
Model Predictive Current Control,permanent magnet synchronous machine,torque ripple
Speaker
Zhihao Zhu
PhD candidate Tianjin University;School of Electrical and Information Engineering

Submission Author
Zhihao Zhu Tianjin University;School of Electrical and Information Engineering
Xile Wei Tianjin University;School of Electrical and Information Engineering
Zhen Zhang Tianjin University;School of Electrical and Information Engineering
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Jun 05

    2025

    to

    Jun 01

    2026

  • May 30 2025

    Draft paper submission deadline

  • Jun 08 2025

    Registration deadline

Sponsored By
China Southeast University
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
Organized By
Southeast University