Multiobjective design of gravity-assist trajectories via graph transcription and dynamic programming

Simple item page
dc.contributor.authorBellome, Andrea
dc.contributor.authorSanchez Cuartielles, Joan Pau
dc.contributor.authorFelicetti, Leonard
dc.contributor.authorKemble, Stephen
dc.date.accessioned2023-04-05T10:29:45Z
dc.date.available2023-04-05T10:29:45Z
dc.date.issued2023-04-02
dc.description.abstractMultiple gravity-assist (MGA) trajectory design requires the solution of a mixed-integer programming problem to find the best sequence among all possible combinations of candidate planets and dates for spacecraft maneuvers. Current approaches require computing times rising steeply with the number of control parameters, and they strongly rely on narrow search spaces. Moreover, the challenging multiobjective optimization needs to be tackled to appropriately inform the mission design with full extent of launch opportunities. This paper describes a methodology based upon a trajectory model to transcribe the mixed-integer space into a discrete graph made by grids of interconnected nodes. The model is based on Lambert arc grids obtained for a range of departure dates and flight times between two planets. A Tisserand-based criterion selects planets to pass by. Dynamic programming is extended to multiobjective optimization of MGA trajectories and used to explore the graph, guaranteeing Pareto optimality with only moderate computational effort. Robustness is ensured by evaluating the relationship between graph and mixed-integer spaces. Missions to Jupiter and Saturn alongside challenging comet sample return transfers involving long MGA sequences are discussed. These examples illustrate the robustness and efficiency of the proposed approach in capturing globally optimal solutions and wide Pareto fronts on complex search spaces.en_UK
dc.description.sponsorshipAirbus.en_UK
dc.identifier.citationBellome A, Sánchez JP, Felicetti L, Kemble S. (2023) Multiobjective design of gravity-assist trajectories via graph transcription and dynamic programming, Journal of Spacecraft and Rockets, Volume 60, Issue 5, September 2023, pp. 1381-1399en_UK
dc.identifier.eissn1533-6794
dc.identifier.issn0022-4650
dc.identifier.urihttps://doi.org/10.2514/1.A35472
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19408
dc.language.isoenen_UK
dc.publisherAIAAen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectGravity Assist Trajectoriesen_UK
dc.subjectDynamic Programmingen_UK
dc.subjectMulti-Objective Optimizationen_UK
dc.subjectMultiple Gravity Assisten_UK
dc.subjectComet Sample Returnen_UK
dc.subjectSpace Mission Analysisen_UK
dc.subjectSpace Trajectory Designen_UK
dc.subjectDeep Space Maneuversen_UK
dc.subjectFly-byen_UK
dc.titleMultiobjective design of gravity-assist trajectories via graph transcription and dynamic programmingen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Multiobjective_design_of_gravity-assist_trajectories-2023.pdf
Size:
2.68 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)