基于EKF的PMSM无传感器控制系统研究

详细信息

Research of PMSM Sensorless Control System Based on EKF

1.
China Bluestar Lehigh Engineering Corp., Lianyungang 222004, China. 2.School of Information and Electrical Engineering of CUMT., Xuzhou 221008, China. 3.Jiangsu Research Center of Electric Drive and

摘要: 文章分析了永磁同步电动机(PMSM)在d-q坐标系下的数学模型及其矢量控制原理,提出了一种将扩展卡尔曼滤波(EKF)原理应用于PMSM无传感器控制系统的方法,即在α-β和d-q坐标系下对PMSM的非线性方程进行线性化处理,利用EKF算法对PMSM的转子位置和转速进行实时在线估计,以满足实时控制要求。Matlab/Simulink仿真及dSPACE硬件平台实验结果表明,基于EKF的PMSM无传感器控制系统运行稳定,超调小,动、静态性能良好。
- 永磁同步电动机 /
- PMSM /
- 无传感器控制 /
- 矢量控制 /
- 扩展卡尔曼滤波 /
- EKF
Abstract: Mathematical model of permanent magent synchronous motor(PMSM) and its vector control principle in d-q coordinate were analyzed and a method of applying EKF in PMSM sensorless control system was proposed. In α-β and d-p coordinates, nonlinear equations of PMSM were linearized and its rotor position and speed were estimated realtimely by EKF algorithm, so as to satisfy demand of realtime control. The results of Matlab/Simulink simulation and dSPACE hardware platform test showed that the PMSM sensorless control system based on EKF has steady running, small overshoot and perfect dynamic and static performance.
- permanent magent synchronous motor, PMSM, sensorless control, vector control, extended Kalman filter, EKF