Model-Based Actuator Fault Accommodation for Distributed Parameter Systems Represented by Coupled Linear PDES
Abstract
A model-based fault detection and accommodation scheme is introduced for a class of distributed parameter systems (DPS) described by coupled partial differential equations (PDEs). Actuator faults at the boundary condition are considered. A detection observer is proposed based on the linear PDE representation of the DPS by assuming that the state information is available. Upon detecting a fault, an adaptive term is added to the observer to estimate the fault parameter vector which is utilized for fault accommodation by reconfiguring the control input. An update law is proposed to estimate the unknown fault parameter vector. An explicit formula is proposed to estimate the time-to-accommodation (TTA) by using the parameter vector. Finally, an example to demonstrate the effectiveness of the proposed scheme is included.
Recommended Citation
J. Cai et al., "Model-Based Actuator Fault Accommodation for Distributed Parameter Systems Represented by Coupled Linear PDES," Proceedings of the 2015 IEEE Conference on Control and Applications (2015, Sydney, Australia), pp. 978 - 983, Institute of Electrical and Electronics Engineers (IEEE), Sep 2015.
The definitive version is available at https://doi.org/10.1109/CCA.2015.7320739
Meeting Name
2015 IEEE Conference on Control and Applications, CCA 2015 (2015: Sep. 21-23, Sydney, Australia)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Actuators; Boundary conditions; Partial differential equations; Accommodation; Actuator fault accommodation; Coupled partial differential equations; Distributed parameter systems; Fault accommodation; Fault parameter vectors; Model-based fault detection; State information; Fault detection
International Standard Book Number (ISBN)
978-1-4799-7787-1
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2015
Comments
Research supported in part by NSF I/UCRC on Intelligent Maintenance Systems and Intelligent Systems Center.