基于递推最小二乘算法的感应电机参数辨识  

Parameter Estimation of Induction Motor Based on Recursive Least Squares Method

作　　者：喻皓 张金良 蒋伟 YU Hao;ZHANG Jinliang;JIANG Wei(GAC Aion New Energy Automotive Co.,Ltd.,Guangzhou 511434;Guangdong Polytechnic Normal University,Guangzhou 510630,China)

机构地区：[1]广汽埃安新能源汽车股份有限公司,广东广州511434 [2]广东技术师范大学,广东广州510630

出　　处：《汽车电器》2024年第7期40-42,45,共4页Auto Electric Parts

基　　金：国家自然科学基金(51377058)。

摘　　要：实现感应电机良好的矢量控制性能的前提是需要获取精准的电机参数。传统使用堵转、空转来测取感应电机参数的方法不但受试验环境的影响,同时也大幅增加了人力成本。为解决这一问题,文章提出一种适用于静止状态下感应电机递推最小二乘算法参数辨识的策略,在MATLAB/Simulink中构建适用递推最小二乘算法的感应电机数学模型及辨识系统,仿真结果表明所提的辨识策略能够有效地对电机电气参数进行精准的辨识。A good knowledge of electric parameters is precondition for high performance field oriented controlled(FOC)induction motor(IM).Conventional methods to obtain the IM parameters known as locked-rotor and no-load tests have problems of limited experimental conditions and increases the labor costs.To solve this problem,this paper presents a recursive least squares(RLS)algorithm for the parameters estimation of the IM at standstill.The RLS estimation model of IM and identification system were established in Matlab/Simulink.Simulation results show the effectiveness of the proposed identification strategy for parameter estimation of IMs.

关 键 词：感应电机 递推最小二乘法 参数辨识 静止状态 

分 类 号：U463.6[机械工程—车辆工程]