Fault Detection and Isolation Problem: Sliding Mode Fuzzy Observers and Linear Integer Programming

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...

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Bibliographic Details
Main Authors: Anzurez-Marin, J., Toledo, B.C., Juarez, E.E.
Format: Conference Proceeding
Language:English
Subjects:
Actuators
Analytical models
Fault diagnosis
linear integer programming
Linear programming
Mathematical model
Observers
Sliding mode observers
Takagi-Sugeno fuzzy models
Takagi-Sugeno model
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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 linear integer programming technique is proposed to solve the fault isolation problem based in signal-residual. The proposed technique allows determinating the faulted component corresponding to the active signal-residual. This paper shows an application of the fault diagnosis technique which was tested satisfactorily in a two-tank hydraulic system.
DOI:10.1109/CERMA.2008.80