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基于模糊学习方法的非线性系统智能容错控制
引用本文:刘晓娟.基于模糊学习方法的非线性系统智能容错控制[J].兰州大学学报(自然科学版),2006,42(1):110-114.
作者姓名:刘晓娟
作者单位:兰州交通大学信息与电气工程学院,甘肃,兰州,730070
基金项目:Supported by Natural Science Foundation of China(30230350) and Natural Science Foundation of Gansu Provice(3ZS041-A25-024).
摘    要:提出了一种基于自适应模糊逻辑学习方法的非线性系统智能容错控制方案.整个控制方案集自适应模糊控制器、监督控制器和调节控制器为一体,是一个功能强大的控制体系结构.仿真结果表明:提出的控制方案能有效地识别和调节非线性系统的未知错误,而且控制系统在不确定或错误的情况下具有稳定性和鲁棒性.

关 键 词:容错控制  模糊逻辑系统  非线性系统
文章编号:0455-2059(2006)01-0110-05
收稿时间:2005-01-11
修稿时间:2005-01-11

A new intelligent fault-tolerant control for nonlinear systems based on fuzzy learning methodology
LIU Xiao-juan.A new intelligent fault-tolerant control for nonlinear systems based on fuzzy learning methodology[J].Journal of Lanzhou University(Natural Science),2006,42(1):110-114.
Authors:LIU Xiao-juan
Abstract:This paper presents an intelligent fault tolerant control scheme for a class of nonlinear systems using the learning methodology which is based on adaptive fuzzy logic systems. The whole control scheme proposed is an augment control architecture integrating adaptive fuzzy controller, supervisory controller and accommodating controller, Simulations demonstrated that the presented control scheme can effectively identify and accommodate non-linear unknown faults and the controlled system is stable and robust in uncertainties and faults.
Keywords:fault tolerant control  fuzzy logic system  non-linear system
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