中文摘要：

针对异步电动机驱动系统存在着参数不确定性、外部负载扰动以及输入饱和限制等问题,本文根据自适应反步法的原理,研究了异步电动机驱动系统的位置跟踪控制策略。在同步旋转坐标（d-q）下,建立异步电动机驱动系统的数学模型,考虑异步电动机驱动系统存在输入饱和,利用神经网络逼近系统中未知的非线性函数,并采用自适应反步控制技术构造位置跟踪控制器,同时利用Matlab软件进行仿真试验。仿真结果表明,异步电动机驱动系统的位置信号可以快速跟踪给定的期望位置信号,当电压过大时能够进行限制,能够克服参数不确定、负载扰动以及输入饱和限制的影响;当t=5s时,改变负载扰动,电机仍能快速地跟踪期望的信号,说明该自适应位置跟踪控制器能够有效地克服负载扰动发生变化而引起的影响,能够实现对异步电动机的有效控制。该研究具有一定的实际应用价值。

英文摘要：

Considering parameter uncertainties,external load disturbance,and input saturation of induction motor,this paper studies the position tracking control for the induction motor drive system based on the principle of adaptive backstepping method.Under the synchronous coordinates of（d-q）,we establish the mathematical model of induction motor drive system.Neural network systems are utilized to approximate the unknown and nonlinear functions of the IM drive system.In addition,backstepping technique is applied to design adaptive fuzzy controllers.The simulation results show that the proposed adaptive neural network position controllers can overcome the influences of parameter uncertainties,load disturbance and input saturation,and it guarantes that the system can quickly track the given desired signals.Whent=5,the system also can track the desired signal quickly,which demonstrates that it can achieve a good control effect of position tracking control on IM.This study has lots of practical application value.