无速度传感器感应电机控制速度辨识的研究现状与展望

The Development and Prospect of Speed Identification of Speed Sensorless Induction Motor Control

速度辨识是无速度传感器感应电机控制中的重要环节。模型参考自适应观测器、神经网络等速度辨识方法,虽然都有较好的精度,但其低速下的辨识精度明显下降,而且电机参数的变化及干扰也影响辨识精度。因此,如何提高低速下的辨识精度和增强系统抗干扰、参数变化的鲁棒性,是速度辨识的基本要求。本文介绍了近年来出现的速度辨识方法,并分析了其优缺点。

Speed identification is crucial in speed sensorlee induction motor control.Some speed identification methods such as model reference adaptive system, observer,neural network and so on, have satisfying identification precision at high speed, but its precision is deteriorated at Iow speed because of the motor parameter＇s variant and disturb-ance, so it is the primary requirement of speed identification how to improve the identification precision and the robustness of system to deal with system disturbance and parameter variant. This paper introduces some popular speed identification methods in recent years and analyzes their merits and demerits.