异步电动机无速度传感器矢量控制系统中的EKF速度辨识法

Method of Extended Kalman Filter Speed Identification in Speed Sensorless Vector Control System for Asynchronous Motor

针对异步电机控制过程中对速度辨识的抗干扰性能的要求，提出一种改进的扩展卡尔曼滤波器速度辨识方法，实现了对异步电机瞬时转速的辨识。该方法首先根据异步电动机无速度传感器矢量控制的基本原理，构建了基于SVPWM的扩展卡尔曼滤波器速度辨识系统，然后利用MATLAB／SIMULINK对系统进行了仿真分析。仿真结果表明该系统的速度跟随性较好，具有良好的滤波效果和稳态辨识特性。

For meeting the requirements of anti-jamming performance of the speed identification in the control process of asynchronous motor, a method of improved extended Kalman filter speed identification is proposed to achieve the identification for the instantaneous rotate speed of induction motor. Firstly, on the basis of the fundamental principles of asynchronous motor speed sensorless vector control, a SVPWM based extended Kalman filter speed identification system is structured and then, the simulation analysis of the system is implemented by using MATLAB/SIMULINK. The simulation results show that the system is of good following performance with wel] filtering effect and steady-state identification features.