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

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3 Author(s)
Juan Anzurez-Marin ; Electr. Eng., Univ. Michoacana de San Nicolas de Hidalgo, Morelia ; Bernardino Castillo Toledo ; Elisa Espinosa Juárez

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.

Published in:

Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08

Date of Conference:

Sept. 30 2008-Oct. 3 2008