为实现永磁同步电机(PMSM)的无速度传感器转速控制,提出一种基于积分比例(IP)转速控制和扩展卡尔曼滤波(EKF)转速估计的PMSM调速控制策略.以αβ坐标系下定子电压和电流为观测量,采用EKF算法对电机转速和转子位置进行实时预测和最优估计.估计转速作为反馈项与给定转速比较,所得误差值作为IP控制器的输入,对q轴电流分量进行控制,实现PMSM无传感器速度控制.针对不同电机转速和多种负载状态进行大量仿真研究,实验结果表明,该转速控制策略抗负载扰动能力强、超调量小.
In order to achieve the speed-sensorless control for permanent magnet synchronous motor( PMSM),this paper proposed a speed control strategy of PMSM based on the integral proportion( IP) controller and the extended Kalman filter( EKF). Considering the stator voltage and current in αβ reference frame as inputed,the rotor speed and position were online predicted and optimally estimated by using the EKF algorithm. The error between the desired and the estimated speed was defined as the input of the IP controller to control the current component of q rotating reference frame, so that the speed-sensorless control of the PMSM could be achieved.Comprehensive simulation results on different motor speed and load conditions demonstrate that the proposed control strategy possess strong disturbance rejection ability and small overshoot.