非线性系统的智能容错控制(英文)  

Intelligent Fault-Intelligent Fault-Tolerant Control of the Nonlinear System Based on Fuzzy Learning Methodology

作　　者：邵华平[1] 覃征[1] 

机构地区：[1]西安交通大学,电子与信息工程学院,西安710049

出　　处：《交通运输工程与信息学报》2005年第1期1-8,共8页Journal of Transportation Engineering and Information

摘　　要：本文提出一种针对非线性系统问题的智能容错控制方案,该方案基于自适应模糊逻辑系统的学习方法,论述了控制器作为一个扩充的体系,集成了自适应模糊控制器、检测控制器及调节控制器三者的功能。仿真表明,所提出的控制方案能够有效的鉴别和适应非线性未知错误,且被控系统在不确定及产生错误时具有很好的稳定性和鲁棒性。This paper presents an intelligent fault tolerant control scheme for a class of non-linear system using learning methodology which is based on adaptive fuzzy logic system. The whole control scheme proposed is an augmentation control architecture integrating adaptive fuzzy controller, supervisory controller and accommodating controller. Simulations showed 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.

关 键 词：非线性系统 智能控制 容错控制 自适应模糊逻辑系统 控制器 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM571[自动化与计算机技术—控制科学与工程]