DocumentCode :
3421347
Title :
Design of a class of reduced order unknown inputs nonlinear observer for fault diagnosis
Author :
Koenig, D. ; Mammar, S.
Author_Institution :
Lab. d´´Autom. de Grenoble, CNRS, St. Martin d´´Heres, France
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
2143
Abstract :
The problem of fault detection in nonlinear systems is considered. Our goal is to extend the unknown inputs observer approach to nonlinear systems. The approach consists of two stages. At the first stage, a change of coordinates is found that decoupled the nonlinear system into two subsystems: one is independent of the unknown inputs and the other with the states is expressed as linear combinations of the outputs and the states of the first subsystem. At the second stage, a nonlinear observer is designed for the former. The use of such observer for robust fault detection purposes is then discussed, and finally illustrated by a numerical example
Keywords :
control system synthesis; fault diagnosis; nonlinear systems; observability; observers; reduced order systems; stability; fault detection; fault diagnosis; nonlinear systems; observability; observers; reduced order systems; robustness; stability; Adaptive filters; Algebra; Fault detection; Fault diagnosis; Linear systems; Monitoring; Nonlinear systems; Observers; Robustness; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
ISSN :
0743-1619
Print_ISBN :
0-7803-6495-3
Type :
conf
DOI :
10.1109/ACC.2001.946064
Filename :
946064
Link To Document :
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