DocumentCode
558856
Title
Adaptive fault diagnosis observer design for linear system with separated faults and disturbance
Author
Jang, Seung Jin ; Lee, Sin Ho ; Park, Jin Bae ; Choi, Yoon Ho
Author_Institution
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear
2011
fDate
26-29 Oct. 2011
Firstpage
1903
Lastpage
1907
Abstract
In this paper, we propose a fault detection observer (FDO) and an adaptive fault diagnosis observer (AFDO) for linear system with separated faults and disturbance. First, the FDO, which is designed by using the characteristic of output error, determines that the actuator and/or sensor faults have occurred when the output error is more larger than the given error boundary. Second, the AFDO which estimates that the actuator and/or sensor faults when the FDO alerts faulty situation, is designed by using both the Lyapunov analysis and LMI methods. Using Lyapunov stability analysis, we also prove the uniformly boundedness of the state, output and fault errors for the constant and time-varying faults. Finally, we illustrate the effectiveness of the proposed diagnosis method thorough simulation.
Keywords
Lyapunov methods; fault diagnosis; linear matrix inequalities; linear systems; observers; AFDO; FDO alerts faulty situation; LMI methods; Lyapunov analysis; Lyapunov stability analysis; actuator faults; adaptive fault diagnosis observer design; constant faults; diagnosis method; disturbance; error boundary; fault detection observer; fault errors; linear system; output error characteristics; sensor faults; separated faults; time-varying faults; uniformly state boundedness; Actuators; Fault detection; Fault diagnosis; Lyapunov methods; Observers; Robustness; Symmetric matrices; Actuator Fault; Adaptive Fault Diagnosis Observer; Disturbance; Fault Detection Observer; LMI Method; Lyapunov Stability Analysis; Sensor Fault;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location
Gyeonggi-do
ISSN
2093-7121
Print_ISBN
978-1-4577-0835-0
Type
conf
Filename
6106191
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