TY - GEN
T1 - Energy based mode tracking of hybrid systems
AU - Arogeti, Shai
AU - Wang, Danwei
AU - Low, Chang Boon
AU - Zhang, Jing Bing
N1 - Funding Information:
This work was supported in part by the A*Star SERC under Grant No. 0521160078.
PY - 2008/12/1
Y1 - 2008/12/1
N2 - Hybrid systems consist of continuous and discrete dynamics. These systems can be described with a set of modes, where in each mode the system is governed by a continuous dynamics, and different modes correspond to different continuous models. For hybrid systems, model-based fault detection and isolation (FDI) is a challenging task, since system's prevailing dynamical model and the system's current mode (discrete state) are mutual dependent and intertwined. This paper introduces a new energy based approach for mode tracking of physical systems with hybrid dynamics. A Hybrid Bond Graph systematic analysis is utilized to characterize each system's mode with compact energy relations. To track system's modes, we monitor these energy relations in real time. The result is an energy based mode tracker that is more efficient in terms of computational resources than existing techniques.
AB - Hybrid systems consist of continuous and discrete dynamics. These systems can be described with a set of modes, where in each mode the system is governed by a continuous dynamics, and different modes correspond to different continuous models. For hybrid systems, model-based fault detection and isolation (FDI) is a challenging task, since system's prevailing dynamical model and the system's current mode (discrete state) are mutual dependent and intertwined. This paper introduces a new energy based approach for mode tracking of physical systems with hybrid dynamics. A Hybrid Bond Graph systematic analysis is utilized to characterize each system's mode with compact energy relations. To track system's modes, we monitor these energy relations in real time. The result is an energy based mode tracker that is more efficient in terms of computational resources than existing techniques.
KW - Diagnosis and self-diagnosis
KW - Mechatronic systems
UR - http://www.scopus.com/inward/record.url?scp=79961019277&partnerID=8YFLogxK
U2 - 10.3182/20080706-5-KR-1001.2686
DO - 10.3182/20080706-5-KR-1001.2686
M3 - Conference contribution
AN - SCOPUS:79961019277
SN - 9783902661005
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
BT - Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
T2 - 17th World Congress, International Federation of Automatic Control, IFAC
Y2 - 6 July 2008 through 11 July 2008
ER -