Trajectory optimization of flybys of multiple irregular satellites of Jupiter with Galilean moons gravity assist

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This paper developed a beam search method for designing Jupiter flyby trajectories targeting multiple irregular satellites, demonstrating that Galilean moon gravity assists and increased search diversity enhance the number of successful flybys.

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This paper studies trajectory optimization for spacecraft flybys of multiple irregular satellites in the Jupiter system, using a beam search algorithm that constructs a virtual trajectory between layers to select potential flyby targets while enforcing mission constraints. It examines mission designs both with and without gravity assists from the Galilean moons throughout the optimization process, and it expands the solution space by introducing diversity into the beam search branches. Simulation results report that increasing beam search branch diversity can significantly augment the number of irregular-satellite flybys, and that including Galilean moon gravity assists can further increase flyby counts for initial orbits with shorter periods. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract The irregular satellites within the Jupiter system hold high scientific value due to their potential to contain clues about the early evolution of the solar system. This paper proposes a method for designing trajectories capable of flying by multiple irregular satellites. The method is based on beam search, using the virtual trajectory between layers to determine potential flyby targets, and considers both cases with and without Galilean moon gravity assist throughout the entire process, resulting in mission trajectories that meet certain constraints.In the final part, the idea of introducing diversity into the algorithm was used to expand the solution space. Simulation results demonstrate that by increasing the diversity of branches in beam search, the number of flybys of irregular satellites can be significantly augmented. Furthermore, incorporating gravity assist from Galilean moons into the mission design for initial orbits with shorter periods has also been shown to be effective in increasing the number of irregular satellite flybys.
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This paper proposes a method for designing trajectories capable of flying by multiple irregular satellites. The method is based on beam search, using the virtual trajectory between layers to determine potential flyby targets, and considers both cases with and without Galilean moon gravity assist throughout the entire process, resulting in mission trajectories that meet certain constraints.In the final part, the idea of introducing diversity into the algorithm was used to expand the solution space. Simulation results demonstrate that by increasing the diversity of branches in beam search, the number of flybys of irregular satellites can be significantly augmented. Furthermore, incorporating gravity assist from Galilean moons into the mission design for initial orbits with shorter periods has also been shown to be effective in increasing the number of irregular satellite flybys. Beam search Virtual trajectory Gravity assist Jovian system Irregular satellites Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 01 Apr, 2024 Read the published version in Astrophysics and Space Science → Version 1 posted Editorial decision: Revision requested 25 Jan, 2024 Editor assigned by journal 25 Jan, 2024 Submission checks completed at journal 24 Jan, 2024 First submitted to journal 23 Jan, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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