中国空间科学技术

中国空间科学技术 ›› 2025, Vol. 45 ›› Issue (5): 91-100.doi: 10.16708/j.cnki.1000-758X.2025.0077

• 论文 • 上一篇    下一篇

月球南极导航星座构型设计

高为广1,2，李罡1,2,*，王申3,4,5，刘迎春3,4,5，武国强3,4   

  1. 1.北京跟踪与通信技术研究所，北京100094
    2.智慧地球重点实验室，北京100094
    3.中国科学院微小卫星创新研究院，上海201203
    4.上海微小卫星工程中心，上海201203
    5.中国科学院大学，北京100049
  • 收稿日期:2024-10-09 修回日期:2024-11-09 录用日期:2024-11-29 发布日期:2025-09-17 出版日期:2025-10-01

Research on the navigation constellation of the Lunar South Pole

GAO Weiguang1,2，LI Gang 1,2,*，WANG Shen 3,4,5，LIU Yingchun 3,4,5，WU Guoqiang3,4   

  1. 1.Beijing Institute of Tracking and Telecommunication Technology, Beijing, 100094, China
    2.Key Laboratory of Smart Earth, Beijing, 100094, China
    3.Innovation Academy for Microsatellites, Chinese Academy of Sciences, Shanghai, 201203, China
    4.Shanghai Engineering Center for Microsatellites, Shanghai, 201203, China
    5.University of Chinese Academy of Sciences, Beijing, 100049, China
  • Received:2024-10-09 Revision received:2024-11-09 Accepted:2024-11-29 Online:2025-09-17 Published:2025-10-01

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摘要： 针对月球南极卫星导航星座构型开展研究。对比了月球环月轨道和三体轨道的动力学特性，提出了适用于南极导航的以近直线晕轨道（Near-rectilinear Halo Orbit，NRHO）和偏心率冻结轨道（Elliptical Lunar Frozen Orbit，ELFO）为主的混合异构星座思路。构建了以导航星座值（Constellation Value，CV）和建设成本为双重优化目标，以不同轨道内的卫星数量、ELFO卫星轨道参数作为决策变量，采用带精英策略的非支配排序遗传算法（Non-dominated Sorting Genetic Algorithm Ⅱ，NSGA-Ⅱ）进行月球南极导航星座构型优化设计。仿真结果表明，2颗NRHO卫星+4颗ELFO卫星的星座构型，可实现月球南极CV值95%、定位精度50m。相关成果可为后续月球南极导航星座的研究及工程应用提供参考。


关键词: 月球南极, 卫星导航, 混合星座, 多目标优化, 构型设计

Abstract: The configuration of the Lunar South Pole satellite navigation constellation is studied. Comparing the dynamic characteristics of the lunar orbit and the three body orbit, a hybrid heterogeneous constellation mainly composed of NRHO (Near-rectilinear Halo Orbit) and ELFO (Elliptical Lunar Frozen Orbit) is proposed to support Lunar South Pole navigation. A dual optimization objective function of constellation value and total costs is constructed, with the number of satellites in different orbits and ELFO satellite orbit parameters as decision variables. The NSGA-Ⅱ (Non-dominated Sorting Genetic Algorithm Ⅱ) algorithm is used to optimize the configuration design of the Lunar South Pole navigation constellation. The simulation results show that a Lunar South Pole constellation configuration of 2 NRHO and 4 ELFO satellites can achieve CV value of 95% and a positioning accuracy of 50m. The relevant results can provide reference for the research and engineering application of Lunar South Pole navigation constellation in the future.

Key words: the Lunar South Pole, satellite navigation, hybrid constellations, multi-objective optimization, configuration design