Title :
Data projection method for sensor Fault Detection and Isolation on nonlinear systems based on Takagi Sugeno model
Author :
Zouari, T. ; Pekpe, K.M. ; Cocquempot, V. ; Ksouri, Moufida
Author_Institution :
LAGIS, Lille 1 Univ., Villeneuve d´´Ascq, France
Abstract :
Robust sensor Fault Detection and Isolation for nonlinear system using partial knowledge of the system is proposed in the paper. First, a suitable Takagi-Sugeno model for uncertain nonlinear system is determined using sector nonlinear method. Then the matrix input-output relation is given and the robust FDI residual is computed by projecting the relation onto the Kernel of the predetermined matrix.
Keywords :
fault diagnosis; fuzzy set theory; matrix algebra; nonlinear systems; sensors; Takagi Sugeno model; data projection method; matrix input-output relation; matrix kernel; sector nonlinear method; sensor fault detection; sensor fault isolation; uncertain nonlinear system; Computational modeling; Equations; Fault detection; Mathematical model; Nonlinear systems; Robustness; Uncertainty;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6161326
