On the fault diagnosis problem for non-linear systems: A fuzzy sliding-mode observer approach

被引：6

作者：

Castillo-Toledo, B. ^{[1
]}

Di Gennaro, S. ^{[2
,3
]}

Anzurez-Marin, J. ^{[4
]}

机构：

[1] CINVESTAV, IPN, Unidad Guadalajara, Zapopan 45010, Jalisco, Mexico

[2] Univ Aquila, Ctr Excellence DEWS, I-67100 Laquila, Italy

[3] Univ Aquila, Elect & Informat Engn Dept, I-67100 Laquila, Italy

[4] Univ Michoacana, Dept Elect Engn, Morelia, Michoacan, Mexico

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2009年 / 20卷 / 4-5期

关键词：

Fault diagnosis; Fuzzy system; Takagi-Sugeno fuzzy models; Fuzzy Observers; REDUNDANCY;

D O I：

10.3233/IFS-2009-0427

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose a solution to the model-based fault diagnosis problem for the class of non-linear dynamic systems subjected to be described by a Takagi-Sugeno fuzzy model. A fuzzy observer is designed to estimate the system's state vector and to derive a diagnostic signal-residual. The residual is generated by the comparison of the measured and the estimated outputs. The proposed scheme has been satisfactorily tested in simulation and in a real-time benchmark given by a Two-Tank Hydraulic System.

引用

页码：187 / 199

页数：13

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