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Design and sensitivity analysis of spacecraft swarms for planetary moon reconnaissance through co-orbits

机译:通过共轨侦察飞船群的宇宙飞船群的设计与敏感性分析

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This work presents an automated mission design architecture for global surface mapping missions to planetary moons. Such missions need to address three important challenges: virtually absent spheres of influence, tidal locking, and self-shadowing. Therefore, a complex task such as global surface coverage is better handled using the swarm approach. The design of a swarm mission for such a dynamic environment is challenging. For this reason, we developed the Integrated Design Engineering and Automation of Swarms (IDEAS) software to facilitate the automated end-to-end design of swarm mission concepts. Specifically, it will use a submodule known as the Automated Swarm Designer module to find optimal swarm configurations suited for a given mission. In our previous work, we developed the Automated Swarm Design module to find swarm configurations for asteroid mapping operations. Here, we will evaluate the capability of the Automated Swarm designer module to design missions to planetary moons, and also examine the sensitivity of the generated optimal design to various perturbations. Specifically, we explore the design space of resonant co-orbits where the spacecraft will have planned periodic encounters with the planetary moon due to the natural dynamics. The swarm will be deployed on resonant co-orbits using an aeroassist from the central planet the maneuver cost with this deployment is broken down into two maneuvers: a planar orbit insertion maneuver using aerobraking, and an orientation change maneuver required to facilitate a planar orbit capture. The design space of such missions is examined, and the principles are illustrated using numerical case studies of a global surface mapping mission to the Martian moon Deimos. Using the described principles, a spacecraft swarm mission to map 90 % of the surface of Deimos is designed. The designed swarm consists of 5 spacecraft, which have a maximum estimated orientation change Delta v of 1.97 km/s, and a worst-case orbit insertion Delta v of 0.848 km/s if aerobraking is used. Overall implications on the mission, such as fuel requirements, and aerobraking timespans are then studied. Finally, the sensitivities of the designed swarm to different perturbations are studied, and peak disturbances that lead to coverage deterioration below a threshold of 80 % are noted.
机译:这项工作提出了一个自动化的任务设计架构,用于全球表面将特派团到行星卫星。这些任务需要解决三个重要挑战:几乎没有影响的影响,潮锁和自阴影。因此,使用群方法更好地处理诸如全局表面覆盖的复杂任务。这种动态环境的群体使命的设计是挑战性的。因此,我们开发了群体(思想)软件的集成设计工程和自动化,以促进群体特派团概念的自动端到端设计。具体而言,它将使用称为自动化群设计器模块的子模块,以查找适合给定任务的最佳群配置。在我们以前的工作中,我们开发了自动化的群设计模块,用于查找小行星映射操作的群配置。在这里,我们将评估自动化的群设计者模块将任务设计为行星卫星的能力,并检查产生的最佳设计对各种扰动的敏感性。具体而言,我们探讨了谐振共同轨道的设计空间,航天器由于自然动态而与行星月亮进行定期遭遇。群体将在中央行星中使用空气裁员的谐振共同轨道部署,该部署的机动成本分为两个机动:使用Aerobraking的平面轨道插入机动,以及促进平面轨道捕获所需的方向变化机动。检查了这些任务的设计空间,并使用对Martian Moon Deimos的全球表面映射任务的数值研究来说明原理。使用所描述的原则,设计了一种用于映射Deimos表面的90%的航天器群主任务。设计的群体由5个航天器组成,最大估计取向变化ΔV为1.97 km / s,以及如果使用充气机会,则为0.848 km / s的最坏情况轨道插入δv。然后研究了对任务的总体影响,例如燃料要求和充气时间表。最后,研究了设计的群体对不同扰动的敏感性,并注意到导致覆盖低于80%阈值的峰值扰动。

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