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Enhancement of Low Speed Performance in Sensorless Model Predictive Control for Induction Motors
ID：8 View Protection：ATTENDEE Updated Time：2025-04-21 14:00:05 Hits：240 Poster

Start Time：Pending（Asia/Shanghai）

Duration：Pending

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Abstract
For sensorless control systems of induction motors based on model predictive control, the motor model-based sensorless control methods suffer from low-speed regeneration instability issues, which significantly limit the low-speed operational performance of sensorless systems. To address this problem, this paper proposes an adaptive law -modified full-order observer-based model predictive control method for induction motors. First, the root cause of low-speed regeneration instability is investigated through analysis of the transfer function characteristics of the full-order observer. Second, an improved adaptive law is developed by incorporating excitation current error into the conventional speed adaptation mechanism. Finally, design of the adaptive law correction coefficients, enhanced low-speed operational characteristics are achieved. The proposed method's effectiveness in achieving stable speed estimation within the low-speed regeneration region is verified through analysis of the system and simulation.
Keywords
induction motor,sensorless control,model predictive control,full-order obverser,low -speed stability
Speaker
Baojia Ma
Master's Student Xi'an University of Technology

Submission Author
Yanqing Zhang Xi'an University of technology
Baojia Ma Xi'an University of Technology
Zhonggang Yin Xi'an University of Technology
Dongsheng Yuan Xi'an University of Technology
Fengtao Gao Xi'an University of Technology
Yuchen Wang Xi’an University of Technology
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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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