A Fuzzy-Neural Network Sliding Mode Control for Flexible Spacecraft

A fuzzy-neural network sliding mode control (FNNSMC) is proposed for the attitude stabilization of flexible spacecraft during large angle slew maneuver. The dynamic model of the spacecraft with flexible appendages is derived by Lagrange equation. To make the system state reach sliding mode surface i...

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Bibliographic Details
Published in2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 4
Main Authors Yu Chen, Chaoyang Dong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Approximation methods
Attitude control
Fuzzy control
Fuzzy neural networks
Mathematical model
Sliding mode control
Space vehicles
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Summary:A fuzzy-neural network sliding mode control (FNNSMC) is proposed for the attitude stabilization of flexible spacecraft during large angle slew maneuver. The dynamic model of the spacecraft with flexible appendages is derived by Lagrange equation. To make the system state reach sliding mode surface in finite time, a sliding mode controller is designed, so the system is robustness against uncertainties and disturbances during the sliding phase. A fuzzy-neural network system is used to approximate the strong coupling nonlinear dynamics between rigid hub and flexible appendages, so that the elastic vibration of flexible spacecraft during maneuver is suppressed and the attitude of flexible spacecraft is stabilized. Simulation results show that not only high-precision attitude stabilization of flexible spacecraft is achieved, but also the elastic vibration of flexible spacecraft during maneuver is suppressed effectively.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5677732