DocumentCode :
2418378
Title :
The Fault Diagnosis Problem: Sliding mode fuzzy dedicated observers approach
Author :
Anzurez-Marin, J. ; Castillo-Toledo, B.
Author_Institution :
Univ. Michoacana de San Nicolas de Hidalgo
fYear :
0
fDate :
0-0 0
Firstpage :
1322
Lastpage :
1328
Abstract :
In this paper, the problem of sensor faults detection (SFD) to non-linear systems is addressed using a modified dedicated observers approach originally proposed by Clark [1], The new approach use sliding mode fuzzy dedicates observers for the Takagi-Sugeno fuzzy model of the non-linear dynamic system to generate the signal residuals that indicate a fault condition in the system. This approach provides robustness to parametric variations in the plant.
Keywords :
fault diagnosis; fuzzy control; nonlinear control systems; observers; robust control; variable structure systems; Takagi-Sugeno fuzzy model; fault diagnosis problem; nonlinear system; robustness; sensor fault detection; sliding mode fuzzy dedicated observers approach; Automatic control; Control systems; Fault detection; Fault diagnosis; Fuzzy systems; Hardware; Observers; Redundancy; Sensor systems; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
Type :
conf
DOI :
10.1109/FUZZY.2006.1681881
Filename :
1681881
Link To Document :
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