A Hybrid System Approach to Robust Fault Detection for a Class of Sampled-data Systems

作     者：QIU Ai-Bing WEN Cheng-Lin JIANG Bin 

作者机构：College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 P.R. China Institute of Information and Control Hangzhou Dianzi University Hangzhou 310018 P. R. China 

基　　金：Supported by State Key Program of National Natural Science Foundation of China (60934009) National Natural Science Foundations of China (60801048 60974062) 

出 版 物：《自动化学报》 (Acta Automatica Sinica)

年 卷 期：2010年第36卷第8期

页      码：1182-1188页

摘      要：In this paper,a novel direct design methodology of robust fault detection for a class of sampled-data systems with both continuous-time process noise and discrete-time measurement noise is presented. First,by using a linear system with finite discrete jumps as residual generator, the design of robust fault detection filter is formulated as a sampled-data filtering problem. Then,a bounded real lemma for the linear system with finite discrete jumps is developed in terms of linear matrix inequalities(LMIs). Based on this,a su-cient condition for the existence of the fault detection filter as well as the design parameters is derived. Furthermore, the case of sampled-data systems with model uncertainties is extended. The designed fault detection filter cannot only make the error between residual and weighted fault as small as possible but also exhibit robustness to all uncertainties including continuous-time process noise, discrete-time measurement noise, and model uncertainties. Finally, simulation results are provided to demonstrate the feasibility of the proposed method

主 题 词：鲁棒故障检测 自动化系统 设计方案 采样数据 

学科分类：080802[080802] 0808[工学-自动化类] 08[工学] 0810[工学-土木类] 1205[管理学-图书情报与档案管理类] 080401[080401] 0804[工学-材料学] 080402[080402] 0838[0838] 0835[0835] 0802[工学-机械学] 0811[工学-水利类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.3724/sp.j.1004.2010.01182

馆 藏 号：203456806...