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Inductance Parameter Online Identification of PMASRM Based on Current Harmonics Extraction with Ultra-local Model
编号：40 访问权限：仅限参会人 更新：2025-10-11 22:29:54 浏览：3次 张贴报告

报告开始：暂无开始时间（Asia/Shanghai）

报告时间：暂无持续时间

所在会场：[暂无会议] [暂无会议段]

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摘要
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.
关键词
Extended state observer (ESO), high-frequency current injection, online full parameter identification, permanent magnet assisted synchronous reluctance motor (PMASRM), ultra-local model
报告人
Sinian Su
Student Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology

稿件作者
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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重要日期

  • 会议日期

    11月07日

    2025

    至

    11月09日

    2025

  • 10月12日 2025

    初稿截稿日期

  • 10月20日 2025

    注册截止日期

主办单位
IEEE西南交通大学IAS学生分会
承办单位
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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