A variable structure adaptive observer approach for actuator fault detection and diagnosis in uncertain nonlinear systems

Author

Chen, Wen ; Saif, Mehrdad ; Soh, Yeng-Chai

Author_Institution

Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada

Volume

4

fYear

2000

fDate

2000

Firstpage

2674

Abstract

We construct a variable structure adaptive observer using only input and output to diagnose actuator faults by a learning method. The stability condition of the proposed observer is relaxed by introducing the expansions of nonlinearities into power series. The observer´s gain matrix can be calculated easily. The robustness properties of the observer ensure that no false alarms are registered due to uncertainties and disturbances in the system

Keywords

actuators; control nonlinearities; fault diagnosis; nonlinear control systems; observers; robust control; uncertain systems; variable structure systems; actuator fault detection; gain matrix; learning method; nonlinearities; power series; robustness properties; stability condition; uncertain nonlinear systems; variable structure adaptive observer approach; Actuators; Estimation error; Fault detection; Fault diagnosis; Learning systems; Linear matrix inequalities; Nonlinear systems; Robustness; Stability; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2000. Proceedings of the 2000

Conference_Location

Chicago, IL

ISSN

0743-1619

Print_ISBN

0-7803-5519-9

Type

conf

DOI

10.1109/ACC.2000.878691

Filename

878691