进化的近地轨道航天器轨迹

D. Hinckley, Karol Zieba, D. Hitt, M. Eppstein
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引用次数: 2

摘要

在本文中,我们使用差分进化(DE),并使用Nelder-Mead优化改进了最佳进化结果,以解决与低地球轨道(LEO)相关的轨道力学中的复杂问题。研究了一类所谓的“朗伯问题”。我们进化出脉冲初速度矢量,从而产生拦截轨迹,使航天器从给定的初始位置到达指定的目标位置。我们寻求最小化受飞行时间和/或能量(燃料)限制的最终位置误差。我们首先验证了该方法可以恢复已知的在开普勒运动假设下得到的解析解。然后,我们将该方法应用于更复杂和现实的非开普勒问题,包括由于地球的扁率和稀薄的大气阻力而引起的LEO轨道扰动。这些困难问题的可行轨迹表明,我们的计算方法对于现实世界中无解析解的低轨道轨道设计具有鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolved spacecraft trajectories for low earth orbit
In this paper we use Differential Evolution (DE), with best evolved results refined using a Nelder-Mead optimization, to solve complex problems in orbital mechanics relevant to low Earth orbits (LEO). A class of so-called 'Lambert Problems' is examined. We evolve impulsive initial velocity vectors giving rise to intercept trajectories that take a spacecraft from given initial positions to specified target positions. We seek to minimize final positional error subject to time-of-flight and/or energy (fuel) constraints. We first validate that the method can recover known analytical solutions obtainable with the assumption of Keplerian motion. We then apply the method to more complex and realistic non-Keplerian problems incorporating trajectory perturbations arising in LEO due to the Earth's oblateness and rarefied atmospheric drag. The viable trajectories obtained for these difficult problems suggest the robustness of our computational approach for real-world orbital trajectory design in LEO situations where no analytical solution exists.
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