Passive robust fault detection using interval observers: Application to the DAMADICS benchmark problem

被引:67
作者
Puig, V
Stancu, A
Escobet, T
Nejjari, F
Quevedo, J
Patton, RJ
机构
[1] Univ Politecn Cataluna, Dept Automat Control, ESAII, Terrassa 08222, Spain
[2] Univ Hull, Kingston Upon Hull HU6 7RX, N Humberside, England
关键词
fault detection; robustness in FDI; non-linear models; observers; interval models;
D O I
10.1016/j.conengprac.2005.03.016
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
in this paper, the "passive approach" to robust fault detection and isolation (FDI) is presented in the context of observer methodology, when a model with parameters bounded in intervals ("interval model") is used, deriving the interval version corresponding to the classical use of observers. The passive approach is based on allowing the effect of the uncertainties to propagate into the residuals and then the principle of adaptive thresholds is used to achieve robustness. Finally, the approach proposed is applied to detect some of the faults proposed in an industrial actuator used as an FDI benchmark in the European RTN DAMADICS. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:621 / 633
页数:13
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