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

页码：805 / 816

页数：12

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