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Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation

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2 Author(s)
An-Min Zou ; Dept. of Aerosp. Eng., Ryerson Univ., Toronto, ON, Canada ; Kumar, K.D.

This brief considers the attitude coordination control problem for spacecraft formation flying when only a subset of the group members has access to the common reference attitude. A quaternion-based distributed attitude coordination control scheme is proposed with consideration of the input saturation and with the aid of the sliding-mode observer, separation principle theorem, Chebyshev neural networks, smooth projection algorithm, and robust control technique. Using graph theory and a Lyapunov-based approach, it is shown that the distributed controller can guarantee the attitude of all spacecraft to converge to a common time-varying reference attitude when the reference attitude is available only to a portion of the group of spacecraft. Numerical simulations are presented to demonstrate the performance of the proposed distributed controller.

Published in:

Neural Networks and Learning Systems, IEEE Transactions on  (Volume:23 ,  Issue: 7 )