DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, DongUk | ko |
dc.contributor.author | Lee, Jinsung | ko |
dc.contributor.author | Ahn, Jaemyung | ko |
dc.date.accessioned | 2022-01-21T06:48:58Z | - |
dc.date.available | 2022-01-21T06:48:58Z | - |
dc.date.created | 2022-01-04 | - |
dc.date.created | 2022-01-04 | - |
dc.date.issued | 2022-01-07 | - |
dc.identifier.citation | AIAA Scitech 2022 Forum | - |
dc.identifier.uri | http://hdl.handle.net/10203/291954 | - |
dc.description.abstract | This paper proposes a new two-phase framework to solve a multi-target rendezvous problem. The first phase of the framework constructs a multi-layer elementary solution database composed of two-impulse and three-impulse optimal transfer solutions between two targets. The second phase formulates and solves a combinatorial optimization problem to find the optimal rendezvous targets and visiting sequences using the elementary solutions. The first phase finds local minima for two-impulse single lambert rendezvous. And then, to find the three-impulse solution, the grid-search and gradient-based algorithm is applied sequentially with the two-impulse solution as the initial guess, reducing the computational cost. The set of local minima for the various operating modes found in this way can be used as an inner-loop to establish a multi-layer elementary solution to determine the optimal visit sequence to multi target rendezvous. The numerical examples were carried out to verify the validity of the corresponding methodology. | - |
dc.language | English | - |
dc.publisher | American Institute of Aeronautics and Astronautics | - |
dc.title | Optimal Multi-target Rendezvous by Using Multi-layer Elementary Solutions | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85123821936 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | AIAA Scitech 2022 Forum | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Manchester Grand Hyatt San Diego, San Diego, CA | - |
dc.identifier.doi | 10.2514/6.2022-2509 | - |
dc.contributor.localauthor | Ahn, Jaemyung | - |
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