Research on online parameter identification of interior permanent magnet synchronous motor based on augmented robust forgetting factor recursive least square,Transactions on Emerging Telecommunications Technologies

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Research on online parameter identification of interior permanent magnet synchronous motor based on augmented robust forgetting factor recursive least square
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2020-06-08 , DOI: 10.1002/ett.3996
Yafu Zhou ₁ , Hantao Wang ₁ , Jing Lian ₁

Affiliation

The high‐performance motor control relies on the accuracy of the interior permanent magnet synchronous motor (IPMSM) parameters. In order to automatically identify the electrical parameters of IPMSM, an online parameter identification method has been developed based on robust adjustable and double tracking error to improve the identification accuracy of IPMSM parameters, which has been verified by both simulation and experiment. Also the torque closed loop was used to check the accuracy and reliability of the parameter identification. On the one hand, the simulation results show that the identification error was less than 10%, decreasing the response time and enhancing the robustness of parameter identification. On the other hand, the experimental results derived from the TC1782‐based platform verify the effectiveness and robustness of the proposed method, above all results indicating that the present identification algorithm has excellent performances of IPMSM drives system and engineering practicability.

中文翻译：

基于增强鲁棒遗忘因子递推最小二乘的室内永磁同步电动机在线参数辨识研究

高性能电动机控制取决于内部永磁同步电动机（IPMSM）参数的准确性。为了自动识别IPMSM的电气参数，基于鲁棒可调和双重跟踪误差，开发了一种在线参数识别方法，以提高IPMSM参数的识别精度，该方法已通过仿真和实验验证。同样，扭矩闭环用于检查参数识别的准确性和可靠性。一方面，仿真结果表明，辨识误差小于10％，减少了响应时间，增强了参数辨识的鲁棒性。另一方面，

更新日期：2020-06-08

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