Observer-based robust process fault detection and diagnosis for a satellite system with flexible appendages

Document Type

Conference Proceeding

Publication Date

1-1-2006

Publication Title

Proceedings of the IEEE Conference on Decision and Control

First Page

2183

Last Page

2188

Abstract

This paper presents a novel observer-based robust process fault detection and diagnosis (FDD) scheme in a class of nonlinear dynamic systems. The proposed observer synthesizes sliding mode techniques and PID-type iterative learning estimators. The observer inputs, which are designed to isolate unci estimate faults, are iteratively computed using the proportional, integral, and derivative information about the output eastimation error. An adaptive algorithm is adopted to update the parameters of the observer. Moreover, robustness, sensitivity, and stability of this fault detection and diagnosis scheme are theoretically analyzed. Finally, the proposed algorithm is applied to a satellite system with flexible appendages, and simulation results illustrate its effectiveness. © 2006 IEEE.

ISSN

07431546

E-ISSN

25762370

ISBN

1424401712,9781424401710

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