Exploration opportunity search for near earth small body

Yuan Ren*, Pingyuan Cui, Enjie Luan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Near-Earth object (NEO) exploration missions attract many scientists because asteroids and comets hold the key clues that could help us to understand the origin of the solar system and the formation of the planets. When selecting the target for a space mission, it requires trying to minimize the total velocity increment. Traditional "pork-chop" plot method exhausts the possible combination of launch time and arriving time to find the optimal exploration opportunity. In this paper, a novel search method based on the theory of transition matrix and calculus of variations is presented. This method firstly derive the analytical gradients of total velocity increment with respect to launch time and arriving time, and then a quasi-Newton method is utilized to search the optimal launch and arriving time under the drive of these analytical gradients. At the end of this paper, exploration opportunities of some NEOs with high scientific value are searched by the novel method. The novel method can find the exploration opportunity with low computational complexity, compared with "pork-chop" plot, and the precision of launch and arriving time could be increased easily.

Original languageEnglish
Title of host publication2006 Chinese Control Conference Proceedings, CCC 2006
PublisherIEEE Computer Society
Pages639-643
Number of pages5
ISBN (Print)7810778021, 9787810778022
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event25th Chinese Control Conference, CCC 2006 - Harbin, China
Duration: 7 Aug 200611 Aug 2006

Publication series

Name2006 Chinese Control Conference Proceedings, CCC 2006

Conference

Conference25th Chinese Control Conference, CCC 2006
Country/TerritoryChina
CityHarbin
Period7/08/0611/08/06

Keywords

  • Calculus of variations
  • Pork-chop figure
  • State transition matrix
  • Two-impulse transfer trajectory

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