Observer-based fault diagnosis of satellite systems subject to time-varying thruster faults

Document Type

Article

Publication Date

5-1-2007

Publication Title

Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

Volume

129

Issue

3

First Page

352

Keywords

Fault identification, Iterative learning observer, Satellite systems, Time-varying thruster faults

Last Page

356

Abstract

This paper presents a novel fault diagnosis approach in satellite systems for identifying time-varying thruster faults. To overcome the difficulty in identifying time-varying thruster faults by adaptive observers, an iterative learning observer (ILO) is designed to achieve estimation of time-varying faults. The proposed ILO-based fault-identification strategy uses a learning mechanism to perform fault estimation instead of using integrators that are commonly used in classical adaptive observers. The stability of estimation-error dynamics is established and proved. An illustrative example clearly shows that time-varying thruster faults can be accurately identified. Copyright © 2007 by ASME.

DOI

10.1115/1.2719773

ISSN

00220434

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