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This paper investigates the robust leader-following formation control problem for six-degree-of-freedom (6-DOF) multi-spacecraft encountering unknown disturbances and model uncertainties. A new distributed adaptive formation control scheme composed of a distributed state rate observer and a neural network-based controller is designed. In light of the Lyapunov theory, the adaptive update laws of parameters are derived and the asymptotic stability of the multi-spacecraft formation system is established. It is demonstrated that the proposed distributed control scheme achieves the robust formation of multi-spacecraft. Finally, some simulation results are provided to verify the effectiveness of the proposed distributed robust control scheme.

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Neural Network-Based Robust Formation Control for 6-DOF Multi-spacecraft Subject to Unknown Disturbances

  • 会议论文

  • 发表日期：

    2025年

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  • Dongchen Han,
  • Mengji Shi,
  • Weixiang Gao,
  • Jiangfeng Yue,
  • Boxian Lin,
  • Kaiyu Qin

摘要

This paper investigates the robust leader-following formation control problem for six-degree-of-freedom (6-DOF) multi-spacecraft encountering unknown disturbances and model uncertainties. A new distributed adaptive formation control scheme composed of a distributed state rate observer and a neural network-based controller is designed. In light of the Lyapunov theory, the adaptive update laws of parameters are derived and the asymptotic stability of the multi-spacecraft formation system is established. It is demonstrated that the proposed distributed control scheme achieves the robust formation of multi-spacecraft. Finally, some simulation results are provided to verify the effectiveness of the proposed distributed robust control scheme.