Title :
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
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;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467091
