The paper deals with the design of an improved model predictive control scheme for achieving station-keeping of spacecrafts 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.
Dettaglio pubblicazione
2022, JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, Pages 1-10
Station-Keeping of L2 Halo Orbits Under Sampled-Data Model Predictive Control (01a Articolo in rivista)
Elobaid Mohamed, Mattioni Mattia, Monaco Salvatore, Normand-Cyrot Doroth('(e))e
Gruppo di ricerca: Nonlinear Systems and Control
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