Satellites on low-Earth orbit usually have scarce opportunities to contact ground stations. Resulting contact windows define the satellite access time, which depends on the satellite's orbit and the ground facilities distribution on Earth's surface. In recent years, the cost of constructing and launching small satellites has decreased dramatically, introducing a new possibility for space agencies: to take into consideration small relay satellites to increase access times. This paper presents Maximum Asset Accessibility Algorithm (M3A), a novel methodology based on simulated annealing parametric search to design satellite missions with maximum access times. Orbit constraints and possible locations for ground facilities are considered on the task of selecting the optimal combination of orbital parameters for the assets of a space mission. Results show that the use of M3A drastically reduces the required design time, while providing parameters of similar quality than those obtained by processor-demanding brute force search.
Towards the Design of Space Missions with Optimal Accessibility via Relay Satellites / Henn, S. M.; Fraire, J. A.; Marino, P. C.; Fischer, M.; Bianco, A.; Hermanns, H.. - ELETTRONICO. - (2019), pp. 100-105. (Intervento presentato al convegno 7th IEEE International Conference on Space Mission Challenges for Information Technology, SMC-IT 2019 tenutosi a Caltech Campus in Pasadena, USA nel 2019) [10.1109/SMC-IT.2019.00018].
Towards the Design of Space Missions with Optimal Accessibility via Relay Satellites
Bianco A.;
2019
Abstract
Satellites on low-Earth orbit usually have scarce opportunities to contact ground stations. Resulting contact windows define the satellite access time, which depends on the satellite's orbit and the ground facilities distribution on Earth's surface. In recent years, the cost of constructing and launching small satellites has decreased dramatically, introducing a new possibility for space agencies: to take into consideration small relay satellites to increase access times. This paper presents Maximum Asset Accessibility Algorithm (M3A), a novel methodology based on simulated annealing parametric search to design satellite missions with maximum access times. Orbit constraints and possible locations for ground facilities are considered on the task of selecting the optimal combination of orbital parameters for the assets of a space mission. Results show that the use of M3A drastically reduces the required design time, while providing parameters of similar quality than those obtained by processor-demanding brute force search.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2813532