基于改进模型参考自适应系统的永磁同步电机参数辨识  

Parameter identification method of permanent magnet synchronous motor based on improved model reference adaptive system

作　　者：李垣江[1] 董鑫 魏海峰[1] 张懿[1] 刘维亭[1] LI Yuan-jiang;DONG Xin;WEI Hai-feng;ZHANG Yi;LIU Wei-ting(College of Electronic Information,Jiangsu University of Science and Technology,Zhenjiang Jiangsu 212003,China)

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003

出　　处：《控制理论与应用》2020年第9期1983-1988,共6页Control Theory & Applications

基　　金：国家自然科学基金项目(51977101);江苏省省重点研发计划产业前瞻与共性关键技术重点项目(BE2018007)资助。

摘　　要：针对永磁同步电机多参数辨识时,数学模型存在的欠秩问题,提出一种改进模型参考自适应系统的分步在线辨识方法.该方法采用Popov超稳定性理论设置自适应律,可以保证辨识时系统的稳定性;在改进的模型参考自适应系统中,首先辨识定子电阻、转子磁链,待两个参数辨识结果稳定后,再辨识直交轴电感.这样在同一个模型中实现多个参数辨识,克服了由于数学模型欠秩问题而导致辨识结果的不确定性.仿真结果表明,本文设计的方法辨识速度较快,辨识度高,具有一定的实用性.Aiming at the under-ranking problem of the mathematical model during multi-parameter identification of permanent magnet synchronous motors,a step-by-step online identification method to improve the model reference adaptive system is proposed.This method uses Popov hyperstability theory to set the adaptive law,which can ensure the identification stability of the system.In the improved model reference adaptive system,the stator resistance and the rotor flux are first identified,and after the two parameter identification results are stable,the orthogonal axis inductance is identified.In this way,multiple parameters are implemented in the same model.The identification overcomes the uncertainty of the identification result due to the underranking problem of the mathematical model.The simulation results show that the method designed in this paper has fast identification speed,high identification degree,and has certain practicability.

关 键 词：永磁同步电机 参数辨识 模型参考自适应系统 在线辨识 模型欠秩 

分 类 号：TM341[电气工程—电机]