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.
Data-Based Spacecraft Rendezvous Control by SINDy
Lect. Notes Electrical Eng.
International Conference on Guidance, Navigation and Control ; 2024 ; Changsha, China August 09, 2024 - August 11, 2024
2025-03-11
10 pages
Article/Chapter (Book)
Electronic Resource
English
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