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ADR MISSION DESIGN AND DE-ORBITING STRATEGIES APPLIED TO HEAVY TARGETS

机译:适用于重目标的ADR任务设计和离轨策略

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In the near future, ADR missions are very likely to become a key objective for international aerospace community. Therefore, joint efforts shall be geared toward enabling technologies, necessary to plan and successfully execute preliminary experimentation. In this context, this paper has the major goal of presenting the status of activities in Aviospace Company and the results achieved so far. Research over the last year has followed two distinct yet complementary strands: the study of systems of capture and de-orbiting, and trajectory optimization strategies for multi-target missions. As regards the capture system trade-off, attention was first focused on the reference target, whose geometry is known and representative of an entire debris family (R/Bs and upper stages), thereby evaluating pros and cons of different capture strategies and the impact they may have on close approach and de-orbiting. On the other hand, in perspective of a future mission with the goal of removing several targets, a strategy of selection of the capture sequence was studied. Thus, an optimizer based on a hybrid evolutionary algorithm was implemented, by modeling each maneuver as a 4-impulses time-fixed rendezvous and exploiting the effect of J_2 perturbation for the compensation of the orbital parameters of Ω. and ω. The algorithm logic is driven by a fitness function, which shall be reformulated in order to take into account several mission factors and not only the energy associated with the rendezvous maneuvers. Finally, a new approach is proposed in order to increase the optimization power, whose applicability extends over ADR context. Both strands of research are currently in progress at , Aviospace in the frame of R&D activities, and another aim of the paper is ultimately to give directions and guidelines to new developments.
机译:在不久的将来,ADR任务很可能会成为国际航空航天界的主要目标。因此,应共同努力,使计划和成功进行初步试验必不可少的技术成为可能。在此背景下,本文的主要目标是介绍Aviospace公司的活动状况以及迄今为止取得的成果。去年的研究遵循两个截然不同但又互补的链:捕获和离轨系统的研究以及多目标任务的轨迹优化策略。关于捕获系统的权衡,首先将注意力集中在参考目标上,该参考目标的几何形状已知且代表整个碎片族(R / B和上层阶段),从而评估不同捕获策略的优缺点及其影响他们可能会近距离接触并脱离轨道运行。另一方面,鉴于未来的任务以去除多个目标为目标,研究了捕获序列的选择策略。因此,通过将每个操纵建模为4脉冲的固定时间会合点,并利用J_2摄动的影响来补偿Ω的轨道参数,从而实现了基于混合进化算法的优化器。和ω。算法逻辑由适应度函数驱动,适应度函数应重新制定,以便考虑多个任务因素,而不仅要考虑与交会演习相关的能量。最后,为了提高优化能力,提出了一种新的方法,其适用性扩展到了ADR上下文。在研发活动的框架内,Aviospace正在进行两方面的研究,本文的另一个目的最终是为新的发展提供方向和指导。

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