采用扩展卡尔曼滤波磁链观测器的永磁同步电机直接转矩控制

提出利用卡尔曼滤波(extended Kalman filter，EKF)观测器对永磁同步电机(permanent magnet synchronous motor，PMSM)直接转矩控制(direct torque control，DTC)系统进行精确参数估计的方法。通过检测定子电压和电流，应用EKF观测器精确估计电机的定子磁链、电机转速和转子位置，间接估计转矩，近而实现PMSM的无速度传感器控制；同时改进常规的EKF估计状态方程，提高速度估计的精确性，并证明了基于EKF的控制系统的稳定性定理。仿真结果表明该方法减小了系统的非线性、参数变化以及干扰带来的影响，EKF能够准确估计状态变量，提高了直接转矩控制的性能。

Direct Torque Control of Permanent Magnet Synchronous Motors Based on Extended Kalman Filter Observer of Flux Linkage

This paper proposed that extended Kalman filter(EKF) observer was applied to the direct torque control (DTC) of permanent magnet synchronous motor(PMSM). The EKF observed the stator voltage and current to estimate rotor speed, rotor position, stator flux linkage and torque. Based on the estimation, the sensorless speed control system of PMSM was built. Simultaneously, by improving conventional EKF estimated equation of state, this method raised the accuracy of velocity estimation. The EKF observer provides a good optimal state estimation of PMSM which is a system of nonlinear, parameter variations and disturbance. Stability properties of PMSM control system based on EKF was proved. The simulation results show that this method can estimate the state variables accurately, improve the performance of the direct torque control of PMSM.