计算机应用研究2012，Vol.29Issue(5)：1698-1701,4.DOI:10.3969/j.issn.1001-3695.2012.05.025
基于逆系统迭代学习观测器的故障调节方法
Class method of fault accommodation based on inverse system iterative learning observer
摘要
Abstract
This paper proposed a designing method of fault accommodation based on iterative learning observer and combined both inverse system method and internal model control for a class of multi-input multi-output nonlinear invertible systems which satisfy Lipschitz conditions with actuator failure problem. Introducing a PD-type learning strategy, it designed an iterative learning observer to estimate the actuator fault rapidly and exactly. Then provided fault estimate for compensating inverse system model to keep the nonlinear system plant connected by inverse model pseudo-linearization, and, combined internal model control to carry fault tolerant control of the pseudo-linearization system. Finally, simulation results show the effectiveness of the scheme.关键词
故障调节/非线性系统/迭代学习型观测器/故障估计/逆系统方法/内模控制Key words
fault accommodation/nonlinear system/iterative learning observer/fault estimation/inverse system method/internal model control分类
信息技术与安全科学引用本文复制引用
李炜,任波,毛海杰..基于逆系统迭代学习观测器的故障调节方法[J].计算机应用研究,2012,29(5):1698-1701,4.基金项目
国家自然科学基金资助项目(60964003) （60964003）
甘肃省教育厅高等学校研究生导师科研资助项目(050301) （050301）
