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

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2 Author(s)
Castillo-Toledo, B. ; Dept. of Autom. Control, CINVESTAV-IPN, Guadalajara ; Anzurez-Marin, J.

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

Published in:

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

Date of Conference:

27-29 June 2005