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Optimal Trajectory Determination and Mission Design for Asteroid/Deep-Space Exploration via Multibody Gravity Assist Maneuvers

机译:通过多体重力辅助演习进行小行星/深空探测的最优轨迹确定和任务设计

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This paper discusses the creation of a genetic algorithm to locate and optimize interplanetary trajectories using gravity assist maneuvers to improve fuel efficiency of the mission. The algorithm is implemented on two cases: (i) a Centaur-class target close to the ecliptic plane and (ii) a Centaur-class target with a high inclination to the ecliptic plane. Cases for multiple numbers of flybys (up to three) are discussed and compared. It is shown that, for the targets considered here, a single flyby of Jupiter is the most efficient trajectory to either target with the conditions and limitations discussed in this paper. In this paper, we also iterate on possible reasons for certain results seen in the analysis and show how these previously observed behaviors could be present in any trajectory found. The parameters and methods used in the algorithm are explained and justified over multiple real-life interplanetary missions to provide deeper insights into the development choices.
机译:本文讨论了一种遗传算法的创建,该遗传算法使用重力辅助演习来定位和优化行星际轨道,以提高任务的燃油效率。该算法在两种情况下实现:(i)接近黄道平面的半人马座目标和(ii)相对于黄道面的倾斜度高的半人马座目标。讨论并比较了多个飞越(最多三个)的情况。结果表明,对于此处考虑的目标,木星的一次掠过是在本文所讨论的条件和局限下,对任一目标进行飞行的最有效轨迹。在本文中,我们还对分析中看到的某些结果的可能原因进行了迭代,并展示了这些先前观察到的行为如何在找到的任何轨迹中出现。对算法中使用的参数和方法进行了解释,并通过多个现实生活的行星际任务进行了论证,以提供对开发选择的更深入了解。

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