基于扩展Kalman滤波器的永磁同步电机转动惯量辨识研究  

Research on Inertia Identification of Permanent Magnet Synchronous Motor Based on Extend Kalman Filter

作　　者：黄苏融[1] 何栋林[1] 王爽[1] 石坚[1] 

机构地区：[1]上海大学机电工程与自动化学院,上海200072

出　　处：《电机与控制应用》2015年第12期7-11,共5页Electric machines & control application

基　　金：教育部博士点基金(20113108110008);上海经息委产学研合作项目(沪CXY-2013-20)

摘　　要：为抑制转动惯量变化对高性能伺服系统性能的不良影响,缩短惯量辨识收敛时间和提高辨识精度已成为转动惯量辨识的研究热点。基于扩展Kalman滤波器,开展永磁同步电机转动惯量辨识算法设计、仿真和试验研究。仿真和试验结果表明,扩展Kalman滤波器用于永磁伺服系统的惯量实时辨识是有效的,突变惯量时辨识收敛时间约为4 s、辨识误差为6.8%。To suppress the bad effect of inertia change on high performance servo system,shorten the inertia identification convergence time and improve the accuracy become a hot research topic. Based on extend Kalman filter,design,simulation and experiment were researched. The simulation and experiment results showed that the extend Kalman filter algorithm was effective,when the inertia was changed,the convergence time of identification was about4 s and the identification error was 6. 8%.

关 键 词：扩展KALMAN滤波器 永磁同步电机 转动惯量 参数辨识 

分 类 号：TM351[电气工程—电机]