智能变结构状态观测器的研究

A Study of State Observers Based on Intelligent Variable Structure

针对一类非线性系统 ,研究了智能变结构状态观测器的设计问题。文中首先提出采用B样条模糊神经网络对系统不确性进行补偿并减少观测器抖动的方法 ,然后给出网络的在线自学习算法 ,最后将所提出的方法应用到感应电动机的转子磁通观测器设计中。

This paper presents a study that deal with design problems of state observers based on intelligent variable structure for a class of nonlinear systems A method using basic spline fuzzy neural networks is first proposed to attenuate the uncertainty of system and to reduce the chattering of the observer Then,the online self-learning algorithms of the networks are given In final,the proposed method is applied to the design of the rotor flux observer of induction motor The experiment results show effectiveness of the proposed design method