Fault parameter estimation for hybrid systems using Hybrid Bond Graph

Chang Boon Low, Danwei Wang, Shai A. Arogeti, Ming Luo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

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.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Control Applications, CCA '09
Pages1338-1343
Number of pages6
DOIs
StatePublished - 1 Dec 2009
Event2009 IEEE International Conference on Control Applications, CCA '09 - Saint Petersburg, Russian Federation
Duration: 8 Jul 200910 Jul 2009

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Conference

Conference2009 IEEE International Conference on Control Applications, CCA '09
Country/TerritoryRussian Federation
CitySaint Petersburg
Period8/07/0910/07/09

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