Model-Based Fault Diagnosis Using Sliding Mode Observers to Takagi-Sugeno Fuzzy Model

Author

Castillo-Toledo, B. ; Anzurez-Marin, J.

Author_Institution

Dept. of Autom. Control, CINVESTAV-IPN, Guadalajara

fYear

2005

fDate

27-29 June 2005

Firstpage

652

Lastpage

657

Abstract

In this paper, we present some results obtained from the application of a class of sliding mode observers to the model-based fault diagnosis problem in non-linear dynamic systems. A Takagi-Sugeno fuzzy model is used to describe the system and then sliding mode observers are designed to estimate the system state vector, from this the diagnostic signal-residual is generated by the comparison of measured and estimated output. The technique was proven satisfactorily in simulation and real-time in a two-tank hydraulic system

Keywords

fault diagnosis; fuzzy systems; nonlinear dynamical systems; observers; variable structure systems; Takagi-Sugeno fuzzy model; diagnostic signal-residual; model-based fault diagnosis; nonlinear dynamic systems; sliding mode observers; system state vector estimation; two-tank hydraulic system; Fault diagnosis; Fuzzy systems; Hydraulic systems; Nonlinear dynamical systems; Observers; Real time systems; Signal design; Signal generators; State estimation; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation

Conference_Location

Limassol

ISSN

2158-9860

Print_ISBN

0-7803-8936-0

Type

conf

DOI

10.1109/.2005.1467091

Filename

1467091