Two-phase framework for near-optimal multi-target Lambert rendezvous

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This paper proposes a two-phase framework to obtain a near-optimal solution of multi-target Lambert rendezvous problem. The objective of the problem is to determine the minimum-cost rendezvous sequence and trajectories to visit a given set of targets within a maximum mission duration. The first phase solves a series of single-target rendezvous problems for all departure-arrival object pairs to generate the elementary solutions, which provides candidate rendezvous trajectories. The second phase formulates a variant of traveling salesman problem (TSP) using the elementary solutions prepared in the first phase and determines the final rendezvous sequence and trajectories of the multi-target rendezvous problem. The validity of the proposed optimization framework is demonstrated through an asteroid exploration case study. (C) 2017 COSPAR. Published by Elsevier Ltd. All rights reserved.
Publisher
ELSEVIER SCI LTD
Issue Date
2018-03
Language
English
Article Type
Article
Keywords

MISSION; OPTIMIZATION; ALGORITHMS; SELECTION

Citation

ADVANCES IN SPACE RESEARCH, v.61, no.5, pp.1273 - 1285

ISSN
0273-1177
DOI
10.1016/j.asr.2017.12.025
URI
http://hdl.handle.net/10203/240710
Appears in Collection
AE-Journal Papers(저널논문)
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