DocumentCode :
3550021
Title :
Robust fault detection in matrix second-order linear systems via Luenberger-type unknown input observers: a parametric approach
Author :
Duan, G.-R. ; Wu, Y.L. ; Zhang, M.R.
Author_Institution :
Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., China
Volume :
3
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
1847
Abstract :
A new parametric approach for robust fault detection in matrix second-order linear (MSOL) systems with unknown disturbances is directly proposed in matrix second-order framework. The residual is generated through utilizing a Luenberger function observer of MSOL systems. Based on a recently proposed eigenstructure assignment approach for MSOL systems, parameterizations of the coefficient matrices of the Luenberger function observer are presented. By combining the parameterizations of the observer eigenvector matrix and an established condition for disturbance decoupling in MSOL systems, the effect of the disturbance to the residual signal is decoupled. A simple algorithm is presented. An example shows the effect of the proposed approach.
Keywords :
eigenstructure assignment; fault location; linear systems; matrix algebra; observers; Luenberger function observer; MSOL system; coefficient matrices; disturbance decoupling; eigenstructure assignment; matrix second-order linear system; observer eigenvector matrix; parameterizations; residual signal; robust fault detection; Control systems; Control theory; Equations; Fault detection; Linear systems; Process design; Robot control; Robustness; State-space methods; Vibration control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1469440
Filename :
1469440
Link To Document :
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