On-orbit servicing strategies for large constellations via hybrid dynamic programming

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dc.contributor.authorLhuillier, Ignacio Betti
dc.contributor.authorBellome, Andrea
dc.contributor.authorFelicetti, Leonard
dc.coverage.spatialBristol, UK
dc.date.accessioned2024-07-15T13:40:19Z
dc.date.available2024-07-15T13:40:19Z
dc.date.issued2024-06-11
dc.description.abstractThe increasing number of mega-constellations inLEOis not only increasing the number of satellites in orbit but potentially might trigger an increment in the amount of space debris. On-orbit servicing is seen as a viable solution to minimize the number of launches needed to maintain these constellations and keep the debris levels low. This paper focuses on trajectory planning for On-Orbit Servicing (OOS) by presenting a novel methodology based on dynamic programming hybridized with deterministic tree search strategies. This is used to schedule the best path for spacecraft to visit satellites that need servicing (such as repair, refueling or repositioning). This methodology is then used to conduct Monte Carlo simulations to study how the main characteristics of the spacecraft affect the performance of the servicing operation. The presented study aims to find the optimal number of servicers needed, the ^V required to perform the operations, and the time of flight between satellites.
dc.identifier.citationLhuillier IB, Bellome A, Felicetti L. (2024) On-orbit servicing strategies for large constellations via hybrid dynamic programming. In: Proceedings of the 2024 CEAS EuroGNC conference. 11 - 13 June 2024, Bristol, UK, Paper number CEAS-GNC-2024-011
dc.identifier.urihttps://eurognc.ceas.org/archive/EuroGNC2024/html/CEAS-GNC-2024-011.html
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22639
dc.language.isoen
dc.publisherCEAS
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDynamic Programming
dc.subjectBeam Search
dc.subjectMulti-target Mission Analysis
dc.subjectMonte Carlo
dc.subjectTree Exploration
dc.titleOn-orbit servicing strategies for large constellations via hybrid dynamic programming
dc.typeConference paper
dcterms.temporal.endDate13-06-2024
dcterms.temporal.startDate11-06-2024

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