Modified dynamic programming for asteroids belt exploration

Bellome, A.; Sánchez, J.P.; García Mateas, J.C.; Felicetti, L.; Kemble, S.

doi:10.1016/j.actaastro.2023.11.018

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Stuart et al [15] used an ant colony algorithm for visiting Trojan asteroids, while Cataldi and Marcuccio [16] proposed a multi-target flyby sequence planning method for Apollo-type asteroids. Recently, Bellome et al [17] presented a consistent method for exploring feasible tours, identifying 79 million trajectories for a 2037 launch.…”

Section: Introductionmentioning

confidence: 99%

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

Jing,

Hao,

2024

Preprint

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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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Section: Introductionmentioning

confidence: 99%

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

Jing,

Hao,

2024

Preprint

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

Jing,

Hao,

2024

Astrophys Space Sci

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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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Analytical Delta-V-Based Nonlinear Programming of Multitarget Rendezvous and Flyby Trajectories

Huang,

Li,

Luo

2024

Journal of Guidance, Control, and Dynamics

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Modified dynamic programming for asteroids belt exploration

Cited by 3 publications

References 26 publications

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

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

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

Analytical Delta-V-Based Nonlinear Programming of Multitarget Rendezvous and Flyby Trajectories

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