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Direct Model-Based Predictive Current Control with Variable Parameters for Induction Machines
ID：51 View Protection：ATTENDEE Updated Time：2025-05-06 14:54:05 Hits：171 Oral

Start Time：Pending（Asia/Shanghai）

Duration：Pending

Session：No Session »

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Abstract
This paper presents several direct model-based predictive current control (D-MPCC) approaches with variable parameters for induction machines (IM). The term “variable parameters" specifically refers to the variable switching point and the variable weighting factor. Experimental results are provided to compare the strengths and limitations of each method.
Keywords
model predictive current control strategy(MPCC),cost function,Induction machine,Variable Parameters,
Speaker
Qing Chen
Postdoc Fellow Department of Electrical Engineering, Tsinghua University

Submission Author
Qing Chen Department of Electrical Engineering, Tsinghua University
Yongdong Li Department of Electrical Engineering, Tsinghua University
Jose Rodriguez Universidad San Sebastian
Kennel Ralph Chair of High-Power Converter Systems, Technical University of Munich
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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
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