Journal of Robotics, Networking and Artificial Life

Volume 5, Issue 1, June 2018, Pages 1 - 5

Optimal Hohmann-Type Impulsive Ellipse-to-Ellipse Coplanar Rendezvous

Authors
Xiwen Tiantianxiwen123@163.com, Yingmin Jiaymjia@buaa.edu.cn
The Seventh Research Division and the Center for Information and Control, School of Automation Science and Electrical Engineering, Beihang University (BUAA), 37 Xueyuan Road, Haidian District, Beijing, 100191, China
Available Online 30 June 2018.
DOI
10.2991/jrnal.2018.5.1.1How to use a DOI?
Keywords
Optimal impulsive rendezvous; Hohmann-type rendezvous; ellipse-to-ellipse; optimal distribution
Abstract

This paper devotes to the problem of ellipse-to-ellipse coplanar rendezvous, where the solution and distribution of Hohmann-type optimal impulsive rendezvous are investigated. The analytical relation between the initial states and rendezvous time are derived for Hohmann-type, and the optimal impulse amplitudes are given thereupon. The distribution boundary of Hohmann-type model is obtained according to the Hohmann transfer and Hohmann with coasts. Simulations are demonstrated to analyze the influences of the solution and distribution.

Copyright
Copyright © 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
5 - 1
Pages
1 - 5
Publication Date
2018/06/30
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2018.5.1.1How to use a DOI?
Copyright
Copyright © 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Xiwen Tian
AU  - Yingmin Jia
PY  - 2018
DA  - 2018/06/30
TI  - Optimal Hohmann-Type Impulsive Ellipse-to-Ellipse Coplanar Rendezvous
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 1
EP  - 5
VL  - 5
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.5.1.1
DO  - 10.2991/jrnal.2018.5.1.1
ID  - Tian2018
ER  -