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Article Dans Une Revue Journal of Guidance, Control, and Dynamics Année : 2022

Station-Keeping of L2 Halo Orbits Under Sampled-Data Model Predictive Control

Résumé

The paper deals with the design of an improved model predictive control scheme for achieving station-keeping in a quasi Halo orbit around the L_2 point in the Earth-Moon system. The improvement is obtained thanks to a multi-rate sampled-data trajectory planner that allows for simplifying the optimization problem of the model predictive controller while guaranteeing feasibility and convergence to the desired orbit. The multi-rate planner is designed based on a simplified model of the dynamics under a preliminary nonlinear regulation feedback. The proposed control scheme is shown to outperform recent station-keeping nonlinear model predictive control designs both in terms of tracking error and energy expenditures in different situations. Finally, a brief study of aspects pertaining to computational time are carried out so highlighting the possibility for real time implementation on modern hardware.
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Dates et versions

hal-03578218 , version 1 (21-02-2022)

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Mohamed Elobaid, Mattia Mattioni, Salvatore Monaco, Dorothée Normand-Cyrot. Station-Keeping of L2 Halo Orbits Under Sampled-Data Model Predictive Control. Journal of Guidance, Control, and Dynamics, 2022, ⟨10.2514/1.G006349⟩. ⟨hal-03578218⟩
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