摘要
对采用伴飞模式的大规模异面星座多补给星的燃料补给进行了研究。设计了补给星轨道的异面调整段、调相追击段、初始构型段、绕飞补给段和结束返回段,确定每颗补给星最优补给策略。为提高补给星的燃料利用率,用遗传算法分别对每颗补给星机动消耗的燃料质量及每次转移给工作星的燃料质量进行优化求解。研究对基于伴飞模式的大规模异面星座燃料补给中单颗补给星补给能力有限问题解决有一定的参考价值。
The refueling of large-scale non-coplanar constellation by multiple suppliers based on formation flying was studied in this paper.The orbits of non-coplanar adjusting phase,phase modulation phase,initital formation phase,refueling phase and return phase of the supplier were designed.The strategy of every suppler was given out.To maximizing the fuel availability,the fuel consumed by the supplying satellite to perform orbit maneuvers and fuel transferred to working satellites were both optimized by genetic algorithms.This study was useful to solve the problem of the restriction of one suppler in the mission of refueling large-scale non-coplanar constellation by means of the formation flying strategy.
出处
《上海航天》
2016年第2期9-14,共6页
Aerospace Shanghai
关键词
异面星座
燃料补给
多补给星
伴飞模式
最优规划
遗传算法
多旅行商(MTSP)
Non coplanar constellation
Refueling
Multiple suppliers
Formation flight mode
Oprimalplanning
Genetic algorithms
Multiple travelling salesman