TY - GEN
T1 - Minimum fuel trajectory design using sparse optimal control in three-body problem
AU - Kayama, Yuki
AU - Bando, Mai
AU - Hokamoto, Shinji
N1 - Funding Information:
This work of the first author was supported by a Grant-in-Aid for Scientific Research (19J11762) from the Japan Society for the Promotion of Science.
Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - This study formulates a successive multiple sparse optimal control method to minimize a fuel consumption of spacecraft in three-body problem. This method uses a convex optimization under linearlized dynamics, however it enables to find an optimal solution that satisfies a nonlinear dynamics by successive convexification. Furthermore, the divergence of the state constraint due to the instability of the three-body system can be avoided by dividing the state constraint into several sections. This method is applied to a transfer from Near Rectilinear halo orbit (NRHO) to Low lunar orbit (LLO) in the Earth-Moon system.
AB - This study formulates a successive multiple sparse optimal control method to minimize a fuel consumption of spacecraft in three-body problem. This method uses a convex optimization under linearlized dynamics, however it enables to find an optimal solution that satisfies a nonlinear dynamics by successive convexification. Furthermore, the divergence of the state constraint due to the instability of the three-body system can be avoided by dividing the state constraint into several sections. This method is applied to a transfer from Near Rectilinear halo orbit (NRHO) to Low lunar orbit (LLO) in the Earth-Moon system.
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U2 - 10.2514/6.2020-2180
DO - 10.2514/6.2020-2180
M3 - Conference contribution
AN - SCOPUS:85091977049
SN - 9781624105951
T3 - AIAA Scitech 2020 Forum
BT - AIAA Scitech 2020 Forum
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Scitech Forum, 2020
Y2 - 6 January 2020 through 10 January 2020
ER -