西安工程大学学报2024，Vol.38Issue(1)：9-15,7.DOI:10.13338/j.issn.1674-649x.2024.01.002
基于两级滤波的改进滑模观测器PMSM无速度传感器控制
Improved sliding mode observer PMSM speed sensorless control based on two-stage filter
摘要
Abstract
Aimed at the problem of position estimation error and buffeting caused by sliding mode observer in permanent magnet synchronous motor(PMSM)servo system,an improved two-stage filter sliding mode observer was proposed.Firstly,according to the mathematical model of PMSM,the estimation algorithm of stator current and back electromotive force using traditional sliding mode observer was designed.Secondly,the shortcomings of traditional sliding mode ob-server in the application of PMSM servo system were analyzed.Then,a new saturation function was proposed to replace the traditional symbolic function,and the sliding mode observer control law was improved.Finally,a two-stage filter composed of variable cutoff frequency filter and Kalman filter was used to obtain more accurate position estimation information of PMSM rotor.The system with traditional observer and the system with improved observer were simulated with Matlab respectively.The simulation results show that compared with the PMSM servo system with traditional observer,the rotational speed error of the PMSM servo system with improved observer is smaller and the estimation results are more accurate.关键词
滑模观测器/两级滤波/卡尔曼滤波器/无速度传感器控制/永磁同步电动机(PMSM)Key words
sliding mode observer/two-stage filtering/Kalman filter/speed sensorless control/permanent magnet synchronous motor(PMSM)分类
信息技术与安全科学引用本文复制引用
刘红俐,黄旭,朱其新,朱永红..基于两级滤波的改进滑模观测器PMSM无速度传感器控制[J].西安工程大学学报,2024,38(1):9-15,7.基金项目
国家自然科学基金(51875380、62063010) （51875380、62063010）
泰州市科技支撑计划(TG202117) （TG202117）
