Abstract
In this paper, a novel model-Based fault diagnosis scheme is proposed for a class of uncertain nonlinear discrete-time systems which can be subjected to both additive and multiplicative faults. Faults are detected by using a novel (FD) observer consisting of two online approximators in discrete-time (OLAD) and a robust adaptive term. Upon detection, a fault diagnosis scheme is introduced to determine the fault type by monitoring the input residual generated via the first OLAD output. Then the appropriate OLAD is included in the observer while the other OLAD is switched off. Next, by using both the parameter update law of the active OLAD and user-selected failure thresholds, an online time-to-failure (TTF) scheme is introduced. Boundedness and asymptotic convergence of the residual and parameter estimation errors respectively are derived in the case of multiplicative and additive faults respectively. Finally, a simulation example is used to demonstrate the proposed fault diagnosis scheme. © 2011 IEEE.
Recommended Citation
H. Ferdowsi and S. Jagannathan, "A Unified Model-Based Fault Diagnosis Scheme for Nonlinear Discrete-time Systems with Additive and Multiplicative Faults," Proceedings of the IEEE Conference on Decision and Control, pp. 1570 - 1575, article no. 6161292, Institute of Electrical and Electronics Engineers, Jan 2011.
The definitive version is available at https://doi.org/10.1109/CDC.2011.6161292
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
International Standard Book Number (ISBN)
978-161284800-6
International Standard Serial Number (ISSN)
2576-2370; 0743-1546
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
01 Jan 2011
