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Optimization Method for Lunar Navigation Satellite Constellation Targeting South Pole

  • Shuo Yang
  • , Rui Zhong*
  • *Corresponding author for this work
  • Beihang University

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

Abstract

For reasons such as researching the origin of the universe, seizing space resources, and seeking new habitats, human exploration has gradually shifted towards deep space. Because of the proximity to Earth and unique gravitational characteristics, the Moon naturally becomes the first destination for deep space exploration. With the second wave of lunar exploration sweeping the globe, the lunar South Pole has become the primary destination due to its unique geographical terrain and strong resource potential. This work proposes a lunar constellation design method based on multi-objective optimization. Based on lunar frozen orbits and considering the presence of the Queqiao-2 satellite, four performance metrics representing coverage and navigation are selected as optimization objectives. Several representative constellation schemes are extracted from the Pareto front, and their configurations and performances are analyzed.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 13
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages495-504
Number of pages10
ISBN (Print)9789819622474
DOIs
StatePublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1349 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • Constellation Design
  • Lunar Constellation
  • Multi-objective Optimization

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