基于EKF的PMSM无电流传感器矢量控制

Current Sensorless Vector Control of PMSM Based on Extended Kalman Filter

针对永磁同步电机伺服系统需要应用在某些低成本、高定位控制精度的场合,提出一种基于扩展卡尔曼滤波器的永磁同步电机无电流传感器矢量控制方法.在Matlab/Simulink平台上,利用电机在 dq 轴坐标系下的状态方程,采用卡尔曼滤波器代替电流传感器来估计定子电流,构建矢量控制模型.仿真结果表明,在增加速度与负载情况下,系统具有良好的控制性能,并且参数有较强的鲁棒性,能够满足实际要求.

Permanent magnet synchronous motor servo system needs to be applied in some positions with low costs and high control precision. To meet this demand, a permanent magnet synchronous motor (PMSM)-based current sensorless vector control based on extended Kalman filter (EKF) is proposed. On Matlab/Simulink platform, the state equation of the motor in the dq axis coordinate system is used, and Kalman filter rather than the current sensor is used to estimate the stator current, and a vector control model is constructed. The simulation results show that the system has good control performance under the condition of increasing speed and load, and the parameters have strong robustness, which can meet actual requirements.