基于模糊逼近和动态面技术的异步电动机位置控制

Position Control of Induction Motors Based on Fuzzy Approximation and Dynamic Surface Technology

针对异步电动机参数不确定性和外部负载产生扰动的现象,本文提出了一种新型的模糊自适应动态面反步控制方法。该方法通过引入一阶低通滤波器,避免了传统反步控制中对虚拟控制函数进行连续求导引起的计算爆炸问题,模糊逻辑系统被用来逼近异步电动机系统中复杂的非线性函数,同时基于反步法的设计原理,构造了异步电动机的模糊自适应控制器,并在Matlab环境下进行仿真实验。仿真结果表明,所设计的控制方法可以确保系统快速跟踪期望信号,实现了对异步电动机的高性能位置跟踪控制。该研究具有实际应用价值。

This article focuses on the problem of position tracking control based on the novel approach. The fuzzy adaptive backstepping control technology based on dynamic surface is proposed for field-oriented in- duction motor （IM） with parameter uncertainties and load torque disturbance. This novel approach by in- troducing the first order filter is a good way to avoid the explosion of complexity produced by differential of nonlinear functions in the backstepping design. Fuzzy control based on fuzzy logic systems is used to ap- proximate the unknown and nonlinear functions of IM drive system, which makes parameter become only one in order to alleviate the computational burden of the scheme. And the adaptive backstepping technique is applied to design controllers. The proposed controller can assure that the tracking error converges to a small range of the origin. Simulation results show that the proposed control approach can suppress IM and make sure that the designed approach can make a perfect tracking performance under the unknown parame- ters and load torque disturbance.