DocumentCode :
1986133
Title :
An LMI approach to design robust fault detection observers
Author :
Zhong, Maiying ; Ding, Steven X. ; Bingyong, Tang ; Jeinsch, Torstern ; Sader, Mario
Author_Institution :
Control Sci. & Eng. Sch., Shandong Univ., Jinan, China
Volume :
4
fYear :
2002
fDate :
2002
Firstpage :
2705
Abstract :
In this contribution, the robust fault detection observer design problem for LTI systems with both disturbances and modelling errors are studied. The basic idea of our study is to split the system state into plant state and the so called fault state, while the fault state is used to diagnose the occurrence of the fault. Then the main task of FDI becomes the fault state optimal estimation problem. Based on this, the FDI observer design problem is finally formulated as a two-objective H-optimization and the LMI approach is developed. An illustrated numerical example is also presented to demonstrate the effectiveness of the proposed approach.
Keywords :
H control; H optimisation; fault diagnosis; matrix algebra; observers; robust control; time-varying systems; FDI; LMI approach; LTI systems; disturbances; fault state; fault state optimal estimation; linear matrix inequalities; modelling errors; plant state; robust fault detection observer design; two-objective H infinity optimisation; Design engineering; Electrical fault detection; Engineering management; Error correction; Fault detection; Filters; Observers; Robust control; Robustness; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
Type :
conf
DOI :
10.1109/WCICA.2002.1020006
Filename :
1020006
Link To Document :
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