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在轨服务技术因在航天器故障修复、寿命延长及军事方面有重大辅助作用而越来越受到各航天大国的重视,作为在轨服务技术重要组成部分的在轨燃料补给技术也越来越受到关注。文章针对圆轨道航天器在轨燃料加注任务,将空间燃料站技术与多目标在轨加注技术相结合,对基于燃料站的在轨加注模式进行了研究,提出了一种基于聚类分析的在轨加注任务调度及优化算法。通过对双脉冲轨道转移问题的求解与分析,获得了轨道转移速度增量和轨道参数之间的关系,在此基础上分析了圆轨道航天器在轨加注任务调度问题,并根据调度模型的变量和约束关系,建立了圆轨道航天器在轨加注任务多目标规划模型,并采用免疫遗传算法对加注任务调度空间燃料站选址问题进行了研究。以30颗目标航天器的在轨加注任务为例进行了数值仿真,并由燃料消耗的计算结果验证了算法的有效性。
In-orbit service technology is increasingly valued by space powers due to its significant auxiliary role in spacecraft fault recovery, life extension and military aspects. In-orbit fuel-supply technology, which is an important part of on-orbit service technology, is also increasingly being used attention. In this paper, aiming at the on-orbit fuel filling task of a round orbital spacecraft, the space fuel station technology is combined with the multi-target on-orbit-filling technology to study the on-orbit-based fuel injection mode based on the fuel station. Analysis of in-orbit filling task scheduling and optimization algorithms. By solving and analyzing the problem of double-pulse orbit transfer, the relationship between the orbit transfer velocity increment and the orbital parameters is obtained. Based on the analysis, the problem of in-orbit filling task scheduling for the orbital spacecraft is analyzed. According to the scheduling model Variable and constraint relationship, a multi-objective programming model of orbital spacecraft on-orbit-filling task is established and the immune genetic algorithm is used to study the location of fueling site for filling task scheduling space. The numerical simulation is carried out with the in-orbit filling mission of 30 target spacecraft. The fuel consumption calculation results show the effectiveness of the algorithm.