用神经网络实现感应电动机转子参数辨识

Rotor parameter identification scheme for induction motor by using neural network

在感应电机间接磁场定向的矢量控制系统中，转子时间常数的变化严重影响着系统的各项性能．为此，提出了一种新的转子参数辨识方法，并采用神经网络来实现。仿真结果证明它能很好的跟踪转子时间常数的变化。

The performances are seriously effected by the variance of rotor time - parameter in the induction motor indirect fluxoriented vector control system. This paper presents a new parameter identification scheme by using neural network. Simulation results verify that this scheme can follow the variance of rotor time - parameter. Thus, an accurate flux-orientation is realized.