Sensor fault detection and isolation filter for polytopic LPV systems: A winding machine application

被引：56
|
作者：
Rodrigues, Mickael [1 ,2 ]
Sahnoun, Mariem [1 ,2 ]
Theilliol, Didier [3 ]
Ponsart, Jean-Christophe [3 ]
机构：
[1] Univ Lyon, Lab Automat & Genie Proc, F-69003 Lyon, France
[2] Univ Lyon 1, CNRS, UMR 5007, F-69622 Villeurbanne, France
[3] Univ Lorraine, Ctr Rech Automat Nancy, CNRS UMR 7039, Lorraine, France
来源：
JOURNAL OF PROCESS CONTROL | 2013年 / 23卷 / 06期
关键词：
Polytopic LPV system; Observer; Fault diagnosis; Sensor; Model-based; LMI; Winding machine; QUANTITATIVE MODEL; CONTROL STRATEGIES; TENSION CONTROL; DESIGN; DIAGNOSIS;
D O I：
10.1016/j.jprocont.2013.04.002
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, a fault diagnosis method is developed for a particular class of nonlinear systems described by a polytopic linear parameter varying (LPV) formulation. The main contribution consists in the synthesis of an accurate fault detection and isolation (FDI) filter and also a sensor fault magnitude estimation with a quality factor. This quality factor of the filter underlines if the fault estimation can be used or not. Stability conditions of the polytopic LPV filter are studied by ensuring poly-quadratic stability with Linear Matrix Inequality (LMI) representation. The effectiveness of this global FDI scheme through LPV modelization, filter design and stability analysis, is illustrated on a real winding machine under multiple sensor faults. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：805 / 816
页数：12
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