Robust fault diagnosis for satellite attitude systems using neural state space models

Document Type

Conference Proceeding

Publication Date

11-30-2005

Publication Title

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volume

2

First Page

1955

Keywords

Aerospace applications, Fault diagnosis, Neural networks

Last Page

1960

Abstract

In this paper, a robust fault detection and diagnosis scheme using neural state space models has been developed for a class of nonlinear systems. The neural state space models are adopted to estimate the modeling uncertainties in the states and outputs of the system. Subsequently, a residual is generated to identify the characteristics of the fault. Moreover, the robustness, sensitivity and stability properties of the proposed fault detection and diagnosis scheme are rigorously derived. Finally, the neural state space model based fault detection and diagnosis scheme is applied to a satellite attitude control system and the simulation results demonstrated its good performance. © 2005 IEEE.

ISSN

1062922X

This document is currently not available here.

Share

COinS