Model-Free Predictive Control for PMSM System Based on Si/SiC Hybrid Inverter Loss Minimization
ID:55 View Protection:ATTENDEE Updated Time:2025-05-06 14:55:12 Hits:179 Oral

Start Time:2025-06-06 16:15(Asia/Shanghai)

Duration:15min

Session:O 1&4 Oral Sessions 1&4 » OS 1&4Oral session 1&4

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Abstract
Compared with full-silicon-carbide (SiC) MOSFET inverters and full-silicon-carbide(Si) IGBT, the Si/SiC hybrid inverter is an alternative approach to achieve the tradeoff between performance and cost by integrating deeply the respective advantages of Si and SiC. Si/SiC hybrid inverters have the advantages of high frequency, low switching losses, large overcurrent capability, low on-state voltage drop, and low cost. To further reduce inverter losses in permanent magnet synchronous motor (PMSM) drive system, this study proposes an ultra-local prediction model for PMSM based on the Si/SiC hybrid inverter loss minimization. The switching loss and conduction loss of hybrid switches (Hys) are analyzed and reduced by designing the switching timing of Hys and switching according to the current state. The loss models are designed based on the transit and steady current and voltage of Hys on double-pulse platform (DPT) experiments. In this study, the performance of the Si/SiC hybrid inverter and conventional inverters are compared in a PMSM drive system, the final results show that the hybrid inverter losses are greatly reduced without increasing the torque pulsations and reducing the current quality.
Keywords
hybrid switch (HyS), model-free predictive current control (MFPCC), permanent magnet synchronous motor (PMSM).
Speaker
Zhigang Rao
Mr. Fuzhou University and Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences

Submission Author
Zhigang Rao Fuzhou University and Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences
Dongliang Ke Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences
Fengxiang Wang Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences
S. Alireza Davari The Shahid Rajaee Teacher Training University, Tehran 1678815811, Iran, and also with the Faculty of Engineering, Universidad Andres Bello, Santiago 8370134, Chile
Jose Rodriguez Universidad San Sebastian
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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