湖南电力 ›› 2026, Vol. 46 ›› Issue (2): 31-40.doi: 10.3969/j.issn.1008-0198.2026.02.005

• 电网运行与控制 • 上一篇    下一篇

基于多新息最小二乘法在线参数辨识的SPMSM无差拍电流预测控制

吴荣, 钟春良, 罗朝旭, 赵凯辉   

  1. 湖南工业大学电气与信息工程学院,湖南 株洲 412007
  • 收稿日期:2025-10-24 修回日期:2025-12-15 出版日期:2026-04-25 发布日期:2026-05-09
  • 通信作者: 吴荣(1998),硕士研究生,主要研究方向为永磁同步电机控制。
  • 作者简介:钟春良(1979),博士,副教授,主要研究方向为微电子器件、光伏电池及微电网。罗朝旭(1987),博士,副教授,主要研究方向为电力电子变换器建模与控制和先进电能质量控制。赵凯辉(1973),博士,教授,主要研究方向为永磁同步电机智能控制及故障诊断。
  • 基金资助:
    国家自然科学基金项目(52207205)

Deadbeat Current Predictive Control for SPMSM Based on Multi-innovation Least Squares Online Parameter identification

WU Rong, ZHONG Chunliang, LUO Zhaoxu, ZHAO Kaihui   

  1. School of Electrical and information Engineering, Hunan University of Technology, Zhuzhou 412007, China
  • Received:2025-10-24 Revised:2025-12-15 Online:2026-04-25 Published:2026-05-09

摘要: 针对表贴式永磁同步电机无传感器控制系统参数失配影响电流环性能问题,提出一种融合在线参数辨识的无差拍电流预测控制策略。首先,根据永磁电机控制系统特点,采用无差拍电流预测控制以提升电流环动态响应性能。然后,提出基于多新息理论结合最小二乘法在线辨识电机电感、磁链和电阻参数。最后,将辨识结果实时反馈至无差拍电流预测控制器,实现控制参数的在线更新与失配补偿。仿真结果表明,该方法在电机参数摄动条件下,能有效提升电流环控制器稳态性能。

关键词: 永磁同步电机(PMSM), 无传感器控制, 无差拍电流预测控制, 参数在线辨识, 多新息最小二乘法

Abstract: Aiming at the problem that parameter mismatch impairs the current loop performance in the sensorless control system of surface-mounted permanent magnet synchronous motors(SPMSM), this paper proposes a deadbeat current predictive control method based on online parameter identification.first, in accordance with the characteristics of permanent magnet motor control systems, deadbeat current predictive control is employed to enhance the dynamic response performance of the current loop. Second, an online identification approach for motor parameters including inductance, flux linkage, and resistance are proposed, which integrates the multi-innovation theory with the least squares method. finally, the identified results are fed back to the deadbeat current predictive controller in real time, realizing the online update of control parameters and the compensation for parameter mismatch. The simulation results indicate that this method can effectively improve the steady-state performance of the current loop controller under the condition of motor parameter perturbation.

Key words: permanent magnet synchronous motor(PMSM), sensorless control, predictive control of deadbeat current control, online parameter identification, multi-interest least squares

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