异步电动机参数辨识仿真研究

Simulation of Parameter Identification for Asynchronous Motor based on Kalman Filter Algorithm

将卡尔曼滤波算法与PID控制算法相结合,将该方法应用到异步电动机的参数辨识过程中,卡尔曼滤波算法可以消除控制系统中的干扰和噪声,改善了控制系统的动态特性,保证被控对象的性能,通过仿真可以看出,该方法可以有效的对被控对象进行参数辨识,具有较强的鲁棒性。

The method applied to the process of induction motor parameter identification combines the Kalman filter algorithm and PID control algorithm. The kalman filtering algorithm can eliminate the interference and noise in the control system, improve the dynamic characteristics of the control system, and ensure the performance of the controlled object. It can be seen through simulation that this method can identify the parameter of controlled object effectively with strong robustness.