Regional coverage satellite constellation optimization algorithm fused with genetic ant colony algorithm

被引：0
|
作者：
Hua B. [1 ]
Wang P. [1 ]
Wu Y. [1 ]
Chen Z. [1 ]
机构：
[1] College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing
来源：
Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology | 2023年 / 45卷 / 02期
关键词：
constellation optimization design; genetic ant colony algorithm; importance weight ranking; specific area coverage;
D O I：
10.11887/j.cn.202302019
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In order to optimize the design of satellite constellations with specific area coverage and intensive revisits, a design scheme of regression orbit and co-subsatellite point trajectory constellation was adopted, and a method to optimally solve the satellite constellation orbit parameters by integrating genetic ant colony algorithm with the weight ranking coverage of key areas in specific area was proposed. The design requirements of the regional coverage constellation were analyzed, a regression orbit coverage area model was established, the optimal orbit root number was calculated by using the genetic ant colony algorithm, and all the constellation parameters were solved through using the co-subsatellite point trajectory constellation solution algorithm. The simulation results show that the optimized constellation meets the coverage time and revisit frequency requirements for the area target, and provides focused coverage and revisits of important locations in order of weight, which verifies the feasibility of the algorithm. © 2023 National University of Defense Technology. All rights reserved.
引用
收藏
页码：164 / 171
页数：7
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