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In this paper, we demonstrate a new model identification method for spacecraft rendezvous with few amounts of data and low computational burdens by utilizing sparse identification for nonlinear dynamical (SINDy). Besides, a control scheme composed of SINDy and Linear Quadratic Regulator (LQR) is demonstrated, which aims to enhance the robustness and optimality simultaneously. The numerical results show the effectiveness of the proposed control scheme for spacecraft rendezvous mission.

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Data-Based Spacecraft Rendezvous Control by SINDy

  • 会议论文

  • 发表日期：

    2025年

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  • Jin Tan,
  • Guang-Ren Duan,
  • Mingming Shi,
  • Bin Li

摘要

In this paper, we demonstrate a new model identification method for spacecraft rendezvous with few amounts of data and low computational burdens by utilizing sparse identification for nonlinear dynamical (SINDy). Besides, a control scheme composed of SINDy and Linear Quadratic Regulator (LQR) is demonstrated, which aims to enhance the robustness and optimality simultaneously. The numerical results show the effectiveness of the proposed control scheme for spacecraft rendezvous mission.