TY - GEN
T1 - Fault parameter estimation for hybrid systems using Hybrid Bond Graph
AU - Low, Chang Boon
AU - Wang, Danwei
AU - Arogeti, Shai A.
AU - Luo, Ming
PY - 2009/12/1
Y1 - 2009/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=74049087520&partnerID=8YFLogxK
U2 - 10.1109/CCA.2009.5281112
DO - 10.1109/CCA.2009.5281112
M3 - Conference contribution
AN - SCOPUS:74049087520
SN - 9781424446025
T3 - Proceedings of the IEEE International Conference on Control Applications
SP - 1338
EP - 1343
BT - 2009 IEEE International Conference on Control Applications, CCA '09
T2 - 2009 IEEE International Conference on Control Applications, CCA '09
Y2 - 8 July 2009 through 10 July 2009
ER -