DocumentCode :
3268115
Title :
Geometric-based approach to fault detection for interval systems
Author :
Hamelin, Frederic ; Defranoux, Celine ; Sauter, Dominique
Author_Institution :
Centre de Recherche en Autom. de Nancy, Univ. Henri Poincare, Vandoeuvre, France
Volume :
4
fYear :
2002
fDate :
10-13 Dec. 2002
Firstpage :
4365
Abstract :
This paper formulates the robust fault detection (RFD) problem in an original form and proposes an approach to solve it. The Kharitonov polynomials and the associated geometry of Dasgupta are used. The proposed approach is based on the synthesis of an optimal model derived from an interval model. The detection filter associated to the residual generation is such that it minimises the effects of both parametric uncertainties and unknown input disturbances while maximizing fault sensitivity. A simulation example illustrates this approach.
Keywords :
fault diagnosis; geometry; modelling; optimal control; optimisation; polynomials; robust control; uncertain systems; Dasgupta geometry; Kharitonov polynomials; detection filter; fault detection; fault sensitivity maximization; geometric based approach; interval systems; minimisation; optimal model synthesis; parametric uncertainties; residual generation; time invariant linear system; unknown input disturbances; Fault detection; Filters; Fluctuations; Frequency; Geometry; Performance analysis; Polynomials; Robustness; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-7516-5
Type :
conf
DOI :
10.1109/CDC.2002.1185059
Filename :
1185059
Link To Document :
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