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首页> 外文期刊>Journal of guidance, control, and dynamics >Multispacecraft Refueling Optimization Considering the J_2 Perturbation and Window Constraints
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Multispacecraft Refueling Optimization Considering the J_2 Perturbation and Window Constraints

机译：考虑J_2扰动和窗约束的多飞船加油优化

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摘要

The optimization of a near-circular low-Earth-orbit multispacecraft refueling problem is studied. The refueling sequence, service time, and orbital transfer time are used as design variables, whereas the mean mission completion time and mean propellant consumed by orbital maneuvers are used as design objectives. The J_2 term of the Earth's nonspherical gravity perturbation and the constraints of rendezvous time windows are taken into account. A hybrid-encoding genetic algorithm, which uses normal fitness assignment to find the minimum mean propellant-cost solution and fitness assignment based on the concept of Pareto-optimality to find multi-objective optimal solutions, is presented. The proposed approach is demonstrated for a typical multispacecraft refueling problem. The results show that the proposed approach is effective, and that the J_2 perturbation and the time-window constraints have considerable influences on the optimization results. For the problems in which the J_2 perturbation is not accounted for, the optimal refueling order can be simply determined as a sequential order or as the order only based on orbital-plane differences. In contrast, for the problems that do consider the J_2 perturbation, the optimal solutions obtained have a variety of refueling orders and use the drift of nodes effectively to reduce the propellant cost for eliminating orbital-plane differences.
机译：研究了近圆形低地球轨道多航天器加油问题的优化。加油顺序，服务时间和轨道转移时间用作设计变量，而平均任务完成时间和轨道演习消耗的平均推进剂用作设计目标。考虑了地球非球面重力摄动的J_2项和交会时间窗的约束。提出了一种混合编码遗传算法，该算法使用正态适应度来寻找最小平均推进剂成本解，并基于帕累托最优性的概念来适应度来寻找多目标最优解。针对典型的多宇宙飞船加油问题证明了所提出的方法。结果表明，该方法是有效的，并且J_2扰动和时间窗约束对优化结果有很大影响。对于不考虑J_2扰动的问题，可以简单地将最佳加油顺序确定为顺序顺序，也可以仅基于轨道平面差异确定顺序。相反，对于确实考虑了J_2扰动的问题，获得的最优解具有多种加油顺序，并有效地利用节点的漂移来减少推进剂成本以消除轨道平面差异。

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  • 来源
    《Journal of guidance, control, and dynamics》 |2014年第1期|111-122|共12页
  • 作者

    Jin Zhang; Geoffrey T. Parks; Ya-zhong Luo; Guo-jin Tang;

  • 作者单位

    National University of Defense Technology, 410073 Changsha, People's Republic of China,College of Aerospace Science and Engineering;

    University of Cambridge, Cambridge, England CB2 1PZ, United Kingdom,Department of Engineering;

    National University of Defense Technology, 410073 Changsha, People's Republic of China,College of Aerospace Science and Engineering;

    National University of Defense Technology, 410073 Changsha, People's Republic of China,College of Aerospace Science and Engineering;

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