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基于伴飞模式的异面星座补给轨道优化
引用本文:肖东东,徐波,高有涛,杨大林.基于伴飞模式的异面星座补给轨道优化[J].中国科学:物理学 力学 天文学,2012(12):1327-1337.
作者姓名:肖东东  徐波  高有涛  杨大林
作者单位:[1]南京航空航天大学航天学院,南京210016 [2]南京大学天文与空间科学学院,南京210093
基金项目:国家高技术研究发展计划(编号:2012AA121602); 国家自然科学基金(批准号:11078001); 中央高校基本科研业务费专项资金(编号:NS2012132)资助项目
摘    要:伴飞模式的卫星燃料补给设想突破了传统的基于交会对接技术的单一燃料补给模式,给未来空间在轨燃料补给提供了新的思路.为了解决基于伴飞模式的异面星座燃料补给的规划问题,本文首先找出停泊轨道到工作星轨道的能量最优的转移轨道;其次通过对补给星机动过程中所需速度增量的分析,认为可以通过求解TSP问题来获得最优的补给顺序;然后针对伴飞补给过程中燃料消耗函数多参数、单目标的特点,结合理想火箭动力学方程,利用带约束的遗传算法,进一步对补给轨道进行了优化求解;最后,通过具体的数值仿真,验证了此优化的可行性与有效性.

关 键 词:燃料补给  伴飞模式  轨道优化  遗传算法

Orbit optimization of supplying satellite of non-coplanar constellation based on formation flight mode
XIAO DongDong,XU Bo.,GAO YouTao & YANG DaLin.Orbit optimization of supplying satellite of non-coplanar constellation based on formation flight mode[J].Scientia Sinica Pysica,Mechanica & Astronomica,2012(12):1327-1337.
Authors:XIAO DongDong  XU Bo  GAO YouTao & YANG DaLin
Institution:( College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2 School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China)
Abstract:The tentative plan of refueling satellites based on formation flying breaks through the traditional only refueling method based on rendezvous and docking, and provides a new thinking for the future on-orbit refueling. To solve the problem of the plan of refueling non-coplanar based on formation flying, this work gives priority to finding a energy optimized transfer orbit between the parking orbit and the working orbit. Secondly, based on the analysis of the necessary velocity increment in the supplier's maneuver, we consider that the optimal refuel order can be determined by solving TSP. Then, taking account of that the consumption function has multi-parameter and single target and combining the ideal rocket dynamics equation, the further optimal solution of the supplier's orbit is given in terms of the constrained genetic algorithm. At last, the feasibility and effectiveness are verified by numerical simulation.
Keywords:refueling  formation flight mode  trajectory optimization  genetic algorithms
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