The removal of orbital debris by means of dedicated space missions has been recently identified as a priority for the sustainability of the space environment. Electrically propelled spacecraft, in particular, are seen as a cost-effective solution for such type of missions. This paper develops an MPC strategy for space debris rendezvous, which is able to account for mission-specific performance and safety requirements, while satisfying on-off constraints inherent to the electric propulsion technology. The proposed design requires to solve a mixed integer linear program at each time step. In order to limit the computational burden, a linear programming relaxation tailored to a realistic thrusting configuration is devised. A rendezvous case study demonstrates the effectiveness of the proposed solution.
Leomanni, M., Bianchini, G., Garulli, A., Giannitrapani, A., Quartullo, R. (2020). An MPC Strategy for Low-Thrust Space Debris Rendezvous. In 2020 59th IEEE Conference on Decision and Control (CDC) (pp.1484-1489). New York : IEEE [10.1109/CDC42340.2020.9303754].
An MPC Strategy for Low-Thrust Space Debris Rendezvous
Leomanni, Mirko;Bianchini, Gianni
;Garulli, Andrea;Giannitrapani, Antonio;Quartullo, Renato
2020-01-01
Abstract
The removal of orbital debris by means of dedicated space missions has been recently identified as a priority for the sustainability of the space environment. Electrically propelled spacecraft, in particular, are seen as a cost-effective solution for such type of missions. This paper develops an MPC strategy for space debris rendezvous, which is able to account for mission-specific performance and safety requirements, while satisfying on-off constraints inherent to the electric propulsion technology. The proposed design requires to solve a mixed integer linear program at each time step. In order to limit the computational burden, a linear programming relaxation tailored to a realistic thrusting configuration is devised. A rendezvous case study demonstrates the effectiveness of the proposed solution.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1124945