Robust fault detection and diagnosis for a multiple satellite formation flying system using second order sliding mode and wavelet networks
Document Type
Conference Proceeding
Publication Date
12-1-2007
Publication Title
Proceedings of the American Control Conference
First Page
426
Last Page
431
Abstract
This paper presents a robust fault detection and diagnosis (FDD) scheme for abrupt and incipient faults in a class of nonlinear dynamic systems. A nonlinear observer which synthesizes second order sliding mode techniques and wavelet networks is proposed for online monitoring. The second order sliding mode is designed to eliminate the effect of system uncertainties on the state observation. Moreover, a bank of wavelet networks is constructed to isolate and estimate faults. Theoretically, the convergence of the state estimation using the second order sliding mode is analyzed. An adaptive algorithm is adopted to update the parameters of the wavelet networks, and its convergence is investigated as well. Finally, this robust FDD scheme is applied to a multiple satellite formation flying system, and simulation results illustrate its effectiveness. © 2007 IEEE.
DOI
10.1109/ACC.2007.4282680
ISSN
07431619
ISBN
1424409888,9781424409884
Recommended Citation
Wu, Qing and Saif, Mehrdad. (2007). Robust fault detection and diagnosis for a multiple satellite formation flying system using second order sliding mode and wavelet networks. Proceedings of the American Control Conference, 426-431.
https://scholar.uwindsor.ca/electricalengpub/375