基于扩展卡尔曼滤波的永磁同步电机无传感器矢量控制

Sensorless Vector Control of Permanent Magnet Synchronous Motor Based on Extended Kalman Filter

为实现永磁同步电机(PMSM)的无传感器控制,引入扩展卡尔曼滤波对转子位置和转速进行估计,该算法通过测量电机端电压和定子电流在线估计转子位置和速度。为提高PMSM转速估计精度,以两相静止坐标系下考虑转动惯量的PMSM实际模型为递推估计对象,搭建转速、电流双闭环的无传感器矢量控制系统。仿真结果表明,系统状态估计精度较高、运行稳定、超调小、动静态性能良好。

The extended Kalman filter algorithm was proprsed to estimate the rotor speed and position of a permanent magnet synchronous motor（PMSM） for the realization of sensorless control,the rotor speed and position were estimated by measuring the stator current and stator voltage on-line.In order to improve the accuracy of speed estimation,the inertia of the mathematic model in two phase stationary frame of PMSM was considered.Based on the estimation,the double closed loop sensorless vector control system of PMSM was built.The simulation results showed that the system has high estimation accuracy,steady running,small oversoot and perfect dynamic and static performance.