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Inductance Parameter Online Identification of PMASRM Based on Current Harmonics Extraction with Ultra-local Model
ID：40 View Protection：ATTENDEE Updated Time：2025-10-11 22:29:54 Hits：223 Poster Presentation

Start Time：2025-11-09 09:02（Asia/Shanghai）

Duration：1min

Session：P Poster presentation » P77.Electric Machine Design and Control

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Abstract
The traditional deadbeat predictive current control (DPCC) is renowned for its excellent performance, quick reaction, simplicity, and ease of use. DPCC, on the other hand, is extremely sensitive to changes in machine parameters, and when model parameters diverge from the real values, performance suffers greatly. This issue is particularly pronounced in permanent magnet assisted synchronous reluctance motors (PMASRMs), where the inductance decreases as the current increases. As a result, the DPCC method, which typically measures motor inductance under no-load conditions, will encounter considerable performance degradation with increasing current levels. In order to address this problem, this work proposes a DPCC approach based on the ultra-local model, which only uses system input and output and does not require motor parameter information, hence improving control system robustness. Additionally, to enable real-time motor inductance identification, an improved high-frequency current injection method is put forward, which introduces a current harmonic amplitude extraction link and replaces the low-pass filter with average value filter. By using this method, the accuracy and convergence rate of inductance identification can be greatly enhanced. Finally, the efficacy of the suggested control strategy for PMASRM is confirmed by comparison of simulations.
Keywords
Extended state observer (ESO), high-frequency current injection, online full parameter identification, permanent magnet assisted synchronous reluctance motor (PMASRM), ultra-local model
Speaker
Sinian Su
Student Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology

Submission Author
Sinian Su Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Jianbo Sun Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Hongzhe Wang Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Yunfan Shen Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Haoyuan Zhang Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Longyu Zhang Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Wenjun Luo Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Ronghai Qu Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
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Important Date

  • Conference Date

    Nov 07

    2025

    to

    Nov 09

    2025

  • Oct 30 2025

    Draft paper submission deadline

  • Nov 10 2025

    Registration deadline

Sponsored By
IEEE西南交通大学IAS学生分会
Organized By
西南交通大学电气工程学院
SPACI车网关系研究室
四川大学电力系统稳定与高压直流输电研究团队
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