基于最小二乘估计的感应电机自适应逆控制

Adaptive Inverse Control of Induction Motor Based on Least Square Algorithms

针对感应电机变频调速系统,提出了一种基于最小二乘估计的自适应逆控制方法。该方法首先通过非线性状态反馈获得逆系统,将感应电机解耦成转子磁链和转速两个线性子系统,从而可以分别设计闭环控制器。为克服电机参数变化的影响,采用递推最小二乘算法对电机参数进行在线辨识,提高了逆解耦控制系统对电机参数变化的适应性。仿真结果表明了该控制方法的可行性和先进性。

The adaptive inverse control based on least square algorithms was presented for the variable frequency speed control of induction motor.The inverse system of induction motor was obtained by means of nonlinear state feedback.And then,the induction motor was decoupled into two independent linear subsystems,the rotor flux subsystem and speed subsystem,so as to design the closed-loop regulators respectively.The negative effectives of parameter variation were reduced by the identification of the induction motor parameters using least square algorithms.The simulation results show the validity and the advantage of the proposed method.