DocumentCode :
1233741
Title :
Unknown input proportional multiple-integral observer design for linear descriptor systems: application to state and fault estimation
Author :
Koenig, D.
Author_Institution :
Lab. d´´Automatique de Grenoble, UMR CNRS-INPG-UJF, France
Volume :
50
Issue :
2
fYear :
2005
Firstpage :
212
Lastpage :
217
Abstract :
In this note, the problem of observer design for linear descriptor systems with faults and unknown inputs is considered. First, it is considered that the fault vector function f is s~ times piecewise continuously differentiable. If the s~th time derivative of f is , then s~ integral actions are included into a Luenberger observer, which is designed such that it estimates simultaneously the state, the fault, and its finite derivatives face to unknown inputs. Second, when the fault is not time piecewise continuously differentiable but bounded (like actuator noise) or s~th time derivative of fault is not but bounded too, a high gain observer is derived to attenuate the fault impact in estimation errors. The considered faults may be unbounded, may not be determinist, and faults and unknown inputs may affect the state dynamic and plant outputs. Sufficient conditions for the existence of such observer are given. Results are illustrated with a differential algebraic power system.
Keywords :
fault diagnosis; linear systems; observers; Luenberger observer; fault estimation; linear descriptor systems; state estimation; unknown input proportional multiple-integral observer design; Actuators; Estimation error; Integral equations; Observers; Power system dynamics; Power system faults; Robustness; State estimation; Sufficient conditions; Vectors;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2004.841889
Filename :
1393137
Link To Document :
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