DocumentCode
2954115
Title
Actuator fault isolation and estimation for uncertain nonlinear systems
Author
Chen, Weitian ; Saif, Mehrdad
Author_Institution
Sch. of Eng. Sci., Simon Fraser Univ., Vancouver, BC, Canada
Volume
3
fYear
2005
fDate
10-12 Oct. 2005
Firstpage
2560
Abstract
This paper considers observer based actuator fault isolation schemes for a class of uncertain nonlinear systems. To deal with a broader class of uncertain non-linearities, we propose novel diagnostic observers, which combine Thau´s observer with sliding mode observers and are primarily designed for actuator fault diagnostic purposes. The uncertain nonlinearities that can be attacked may include both Lipschitz uncertain nonlinearities and those uncertain nonlinearities that are not Lipschitz but satisfy certain matching conditions. The design of observer boils down to the solving of LMIs, which can easily be done using the Matlab LMI toolbox. Using the proposed observers, two actuator fault isolation schemes are designed. Unlike the existing techniques, using only m observers in the first approach and only one observer in the second approach, our proposed schemes can isolate any number of actuator faults occurring at the same time. In addition, both proposed schemes are capable of estimating the faults.
Keywords
actuators; control nonlinearities; fault diagnosis; linear matrix inequalities; nonlinear control systems; observers; uncertain systems; Lipschitz uncertain nonlinearities; Matlab LMI toolbox; Thau observer; actuator fault isolation; diagnostic observer; fault diagnosis; linear matrix inequalities; sliding mode observer; uncertain nonlinear system; Actuators; Adaptive systems; Design methodology; Estimation error; Fault detection; Linear systems; Nonlinear systems; Sliding Mode Observer(SMO); Thau´s observer; fault isolation; input reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN
0-7803-9298-1
Type
conf
DOI
10.1109/ICSMC.2005.1571534
Filename
1571534
Link To Document