DocumentCode
2296046
Title
Quantitative fault estimation for a class of nonlinear systems
Author
Vijayaraghavan, K. ; Rajamani, R. ; Bokor, J.
Author_Institution
Dept. of Mech. Eng., Minnesota Univ., Minneapolis, MN
fYear
2006
fDate
14-16 June 2006
Abstract
This paper develops a methodology for actuator fault diagnostics and quantitative estimation of fault signals in a class of nonlinear systems. The class of nonlinear systems considered is one in which the nonlinearity is an incremental quadratic type of nonlinearity that includes Lipschitz, positive real and sector nonlinear functions. The methodology provides for both state estimation and fault vector estimation. An LMI procedure can be utilized for explicit computation of the observer gains. The procedure developed can also be specialized to linear time invariant systems. Compared to previous results for LTI systems, the procedure developed herein does not require the LTI system to be minimum phase. The use of the developed methodology is demonstrated through an illustrative example of a real world physical application
Keywords
fault diagnosis; linear matrix inequalities; nonlinear functions; nonlinear systems; state estimation; LMI procedure; LTI systems; actuator fault diagnostics; fault vector estimation; nonlinear functions; nonlinear systems; quantitative estimation; quantitative fault estimation; Actuators; Control systems; Fault detection; Nonlinear control systems; Nonlinear systems; Observers; State estimation; Symmetric matrices; Time invariant systems; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2006
Conference_Location
Minneapolis, MN
Print_ISBN
1-4244-0209-3
Electronic_ISBN
1-4244-0209-3
Type
conf
DOI
10.1109/ACC.2006.1657539
Filename
1657539
Link To Document