基于改进型SMO的PMSM无传感器控制研究  

Research on Sensorless Control for PMSM Based on Improved SMO

作　　者：李宁 江学焕[1] 张德志 张金亮[1] 彭国生 董万建 LI Ning;JIANG Xuehuan;ZHANG Dezhi;ZHANG Jinliang;PENG Guosheng;DONG Wanjian(School of Electrical&Information Engineering,Hubei University of Automotive Technology,Shiyan Hubei 442002,China;Shanghai Zhikong Drive Technology Co.,LTD.,Shanghai 201806,China)

机构地区：[1]湖北汽车工业学院电气与信息工程学院,湖北十堰442002 [2]上海致控驱动技术有限公司,上海201806

出　　处：《微电机》2024年第4期60-65,70,共7页Micromotors

基　　金：湖北省教育厅科学研究计划资助项目(D20221805);湖北省教育厅科学研究计划资助项目(D20221802)。

摘　　要：针对传统滑模观测器(SMO)对永磁同步电机(PMSM)反电动势估计存在高频抖动而导致位置和转速误差较大的问题,分析设计了一种新型滑模观测器。首先,从滑模变结构控制原理出发,分析了传统SMO中控制函数的不足,其次,设计了新型控制函数,改善传统滑模观测器因使用开关函数造成估算值抖动过大的问题;同时使用频率自适应复系数滤波器代替传统的低通滤波器,提升估计转子位置和转速的精度。最后,在Matlab/Simulink平台搭建了算法仿真,仿真结果表明,该观测器能够很好地观测跟踪电机转速和其转子位置,能有效抑制高频抖振,提高滑模观测器估算精度,提高了PMSM无传感控制系统的稳定性。A novel sliding mode observer was analyzed and designed to address the problem of high frequency jitter in the estimation of the back electromotive force of permanent magnet synchronous motors(PMSM)using traditional sliding mode observers(SMO),which results in significant position and speed errors.Firstly,starting from the principle of sliding mode variable structure control,the shortcomings of traditional SMO control functions were analyzed.Secondly,a new control function was designed to improve the problem of excessive estimation jitter caused by the use of switch functions in traditional sliding mode observers;Simultaneously using frequency adaptive complex coefficient filters to replace traditional low-pass filters improves the accuracy of estimating rotor position and speed.Finally,algorithm simulation was built on the Matlab/Simulink platform,and the simulation results showed that the observer can effectively observe and track the motor speed and rotor position,effectively suppress high-frequency chattering,improve the estimation accuracy of the sliding mode observer,and improve the stability of the PMSM sensorless control system.

关 键 词：滑模观测器 永磁同步电机 高频抖动 无传感器控制 复系数滤波器 

分 类 号：TM351[电气工程—电机] TM341[机械工程—机械制造及自动化] TH165[金属学及工艺—金属切削加工及机床] TG659