永磁同步电机的参数及状态估计

Parameter and State Estimation of PMSM

永磁同步电动机的参数及状态估计是提高控制性能的基础。扩展卡尔曼滤波器是永磁同步电机参数和状态估计的一种有效方法；本文给出了滤波器的设计方法，工作原理及实现；仿真结果表明该方法具有良好的参数估计和辨识能力，能够逼近电机的实际状态。

Parameter and state estimation is the basis of improving the performance of a permanent magnet synchronous motor (PMSM). The Extended Kalman Filter (EKF) is an effective on-line method of parameter and state estimation of permanent magnet synchronous motor. The design principle and implementation of EKF, as well as the result of computer simulation are given in detail. lt is shown that this method provides good estimation and identification of the parameters of PMSM , and can track the real state of PMSM very well.