DocumentCode :
2319763
Title :
Robust Sensor Fault Reconstruction Using A Reduced Order Linear Observer
Author :
Tan, Chee Pin ; Edwards, Christopher ; Kuang, Ye Chow
Author_Institution :
Sch. of Eng., Monash Univ., Sunway
fYear :
2006
fDate :
5-8 Dec. 2006
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents an observer based robust sensor fault reconstruction scheme. A popular observer based robust fault detection method is eigenstructure assignment; where the observer has certain eigenvectors, resulting in the fault detection scheme being decoupled from disturbances. This paper firstly investigates the existence conditions for the right eigenvector assignment method. Then an alternative scheme using reduced order observers is presented, with existence conditions that are less restrictive than that of right eigenvector assignment, whilst still being decoupled from disturbances. Following that, it proposes a design method for the observer using linear matrix inequalities. A design example validates the work in this paper; where the fault reconstruction scheme is totally decoupled from any disturbances
Keywords :
eigenstructure assignment; fault diagnosis; linear matrix inequalities; observers; reduced order systems; robust control; eigenstructure assignment; eigenvectors; linear matrix inequalities; reduced order linear observer; robust fault detection; robust sensor fault reconstruction; Control systems; Design methodology; Fault detection; Linear matrix inequalities; Observers; Robust control; Robustness; Sensor systems; State estimation; Uncertainty; fault reconstruction; observer; robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
Type :
conf
DOI :
10.1109/ICARCV.2006.345427
Filename :
4150231
Link To Document :
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