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.

Station-Keeping of L2 Halo Orbits Under Sampled-Data Model Predictive Control / Elobaid, Mohamed; Mattioni, Mattia; Monaco, Salvatore; Normand-Cyrot, Doroth('(e))e. - In: JOURNAL OF GUIDANCE CONTROL AND DYNAMICS. - ISSN 0731-5090. - 45:7(2022), pp. 1337-1346. [10.2514/1.g006349]

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

Mohamed Elobaid
Primo
;
Mattia Mattioni
Secondo
;
Salvatore Monaco
Penultimo
;
2022

Abstract

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.
2022
Station-keeping; Halo orbits; Nonlinear digital control; Model predictive control; Multi-rate sampling
01 Pubblicazione su rivista::01a Articolo in rivista
Station-Keeping of L2 Halo Orbits Under Sampled-Data Model Predictive Control / Elobaid, Mohamed; Mattioni, Mattia; Monaco, Salvatore; Normand-Cyrot, Doroth('(e))e. - In: JOURNAL OF GUIDANCE CONTROL AND DYNAMICS. - ISSN 0731-5090. - 45:7(2022), pp. 1337-1346. [10.2514/1.g006349]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1637788
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