DocumentCode :
1709844
Title :
Fault parameter estimation for hybrid systems using hybrid bond graph
Author :
Low, Chang Boon ; Wang, Danwei ; Arogeti, Shai A. ; Luo, Ming
Author_Institution :
DSO Nat. Labs., Singapore, Singapore
fYear :
2009
Firstpage :
1338
Lastpage :
1343
Abstract :
In this paper, a Hybrid Bond Graph based fault estimation is developed to estimate faulty parameters. This estimation method is based on a set of unified equations called the Global Analytical Redundancy Relations (GARRs). The developed estimation technique estimates fault parameters that can be linearly or nonlinearly parameterized, and it is formulated as a nonlinear least-square problem. This method is able to estimate the value of the fault parameters of a complex hybrid system even when a mode change occurs after the fault occurrence. Simulation results show that the fault parameters can be estimated effectively using the proposed technique.
Keywords :
bond graphs; fault diagnosis; least squares approximations; nonlinear equations; parameter estimation; redundancy; estimation technique; fault estimation; fault occurrence; fault parameter estimation; fault parameters; global analytical redundancy relation; hybrid bond graph; hybrid systems; nonlinear least square problem; Bonding; Continuous time systems; Control systems; Fault detection; Maintenance engineering; Nonlinear equations; Parameter estimation; Redundancy; Safety; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-4601-8
Electronic_ISBN :
978-1-4244-4602-5
Type :
conf
DOI :
10.1109/CCA.2009.5281112
Filename :
5281112
Link To Document :
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