Abstract
In this paper, a novel decentralized detection and accommodation (FDA) methodology is proposed for interconnected nonlinear continuous-time systems by using local subsystem states alone in contrast with traditional distributed FDA schemes where the entire measured or the estimated state vector is needed. First, the detection scheme is revisited where a network of local fault detectors (LFD) is proposed. A fault is detected by generating a residual from the measured and estimated state vectors locally and the fault dynamics are estimated by using an online approximator upon detection. Subsequently, a fault accommodation scheme is initiated in the subsystem by using a second online approximator to augment the control input of each subsystem in order to minimize the effects of the faults on the overall system. Decentralization avoids the transmission of the entire system state vector to each subsystem. Finally, the proposed methods are verified in the simulation environment. © 2013 IEEE.
Recommended Citation
H. Ferdowsi and S. Jagannathan, "A Decentralized Fault Accommodation Scheme for Nonlinear Interconnected Systems," PHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings, article no. 6621452, Institute of Electrical and Electronics Engineers, Dec 2013.
The definitive version is available at https://doi.org/10.1109/ICPHM.2013.6621452
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
International Standard Book Number (ISBN)
978-146735722-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
06 Dec 2013
