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An output delay approach to fault estimation for sampled-data systems

Science china(information Sciences) 2012年第9期55卷 2128-2138页

作者： wen chenglin 1,qiu aibing 2 & jiang bin 3 1 institute of information and control,hangzhou dianzi university,hangzhou 310018,china 2 School of Electrical Engineering,Nantong university,Nantong 226019,china 3 College of Automation Engineering,Nanjing university of Aeronautics and Astronautics,Nanjing 210016,china institute of information and control Hangzhou Dianzi University Hangzhou China School of Electrical Engineering Nantong University Nantong China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

The problem of fault estimation for a class of non-uniformly sampled-data systems is investigated from the time delay point of view in this ***,the output delay approach is employed to model the sampled-data system as a continuous-time one with time-varying delay ***,based on the analysis of the inapplicability of the adaptive fault diagnosis observer in such class of time-delay systems,a novel augmented fault estimation observer design method is proposed to guarantee the exponential convergence of the estimation ***,an extension to the case of time varying fault estimation for the noisy sampled-data systems is ***,simulation results of a flight control system are presented to demonstrate the effectiveness of the proposed method.

关键词： fault estimation non-uniformly sampled-data augmented observer output delay

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

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自动化学报 2010年第8期36卷 1182-1188页

作者： qiu Ai-bing wen Cheng-Lin jiang bin 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

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

关键词：鲁棒故障检测自动化系统设计方案采样数据

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