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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Castillo-Toledo, B., Anzurez-Marin, J.
Format: Conference Proceeding
Language:English
Subjects:
Fault diagnosis
Fuzzy systems
Hydraulic systems
Nonlinear dynamical systems
Observers
Real time systems
Signal design
Signal generators
State estimation
Takagi-Sugeno model
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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
ISSN:2158-9860
2158-9879
DOI:10.1109/.2005.1467091