Fault detection and isolation in linear parameter-varying descriptor systems via proportional integral observer

被引:98
作者
Hamdi, H. [1 ]
Rodrigues, Mickael [2 ]
Mechmeche, C. [1 ]
Theilliol, D. [3 ]
Braiek, N. Benhadj [1 ]
机构
[1] Ecole Polytech Tunisie, Lab Etud & Commande Automat Proc LECAP, La Marsa 2078, Tunisia
[2] Univ Lyon 1, Lab Automat & Genie Proc LAGEP, CNRS UMR 5007, F-69622 Villeurbanne, France
[3] Nancy Univ, Ctr Rech Automat Nancy CRAN, CNRS, F-54506 Vandoeuvre Les Nancy, France
关键词
LPV descriptor systems; polytopic proportional integral observer; failure detection and isolation; linear matrix inequalities (LMIs); DESIGN;
D O I
10.1002/acs.1260
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The main contribution of this paper is the design of a polytopic unknown inputs proportional integral observer (UIPIO) for linear parameter-varying (LPV) descriptor systems. This observer is used for actuator fault detection and isolation. The proposed method is based on the representation of the LPV descriptor systems in a polytopic form. Its parameters evolve in an hypercube domain. The designed polytopic UIPIO is also able to estimate both the states and the unknown inputs of the LPV descriptor system. Stability conditions of such observer are expressed in terms of linear matrix inequalities. An example illustrates the performances of such polytopic UIPIO. Copyright (c) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码:224 / 240
页数:17
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