航天器工程2024，Vol.33Issue(2)：9-15,7.DOI:10.3969/j.issn.1673-8748.2024.02.002
应用改进遗传算法的低轨星座部署策略优化方法
Optimization Method for LEO Constellation Deployment Strategy Using Improved Genetic Algorithm
马林 1刘玥 2侯祥震 2常新亚 2王淼2
作者信息
- 1. 中国人民解放军战略支援部队航天工程大学,北京 101416||中国空间技术研究院卫星应用总体部,北京 100094
- 2. 航天东方红卫星有限公司,北京 100094
- 折叠
摘要
Abstract
Considering the time constraints of mission interval at the launch site,an optimization method for LEO(low earth orbit)constellation deployment strategy is proposed in this paper.A dynamic modeling of the deployment process for low earth circular orbit constellation is conduc-ted,and the relationship between the deployment window and the phase difference of the orbit in-sertion point are derived,as well as the cost analysis of phase adjustment after orbit insertion.The combination of constellation deployment position sequence is taken as a parameter,together with the sequence of satellite deployment intervals,as optimization variables,which simplifies a high-dimensional search problem within a wide range of dates to a finite-dimensional integer pro-gramming problem.An improved genetic algorithm for local search is introduced to optimize the launch deployment strategy computation.As verification,an example of a 9-satellites constellation de-ployment is optimized.The result shows that the optimization method reduces the computational com-plexity by 7 orders of magnitude compared with the exhaustion search method and can quickly obtain the optimal result that satisfies the constraint of the launch interval and takes into account the deployment time and the cost of orbital transfer using the evolutionary calculations within 50 generations.关键词
低轨星座部署/策略优化/发射计划约束/改进遗传算法Key words
LEO constellation deployment/strategy optimization/launching schedule constraint/improved genetic algorithm分类
航空航天引用本文复制引用
马林,刘玥,侯祥震,常新亚,王淼..应用改进遗传算法的低轨星座部署策略优化方法[J].航天器工程,2024,33(2):9-15,7.
