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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation
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Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation

机译：输入饱和的航天器编队飞行基于神经网络的分布式姿态协调控制

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摘要

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.
机译：本简介考虑了仅当小组成员中的一个成员可以使用公共参考姿态时，航天器编队飞行的姿态协调控制问题。提出了一种基于四元数的分布式姿态协调控制方案，该方案考虑了输入饱和度，并借助滑模观测器，分离原理定理，Chebyshev神经网络，平滑投影算法和鲁棒控制技术。使用图论和基于Lyapunov的方法，表明当参考姿态仅适用于航天器组的一部分时，分布式控制器可以保证所有航天器的姿态收敛到共同的时变参考姿态。数值仿真表明了所提出的分布式控制器的性能。

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