使用进化算法来优化星际转移

G. M. Neves, D. P. S. Santos
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引用次数: 0

摘要

本文以降低燃料消耗为重点,对行星际任务的成本优化问题进行了研究。为实现这一目标,采用遗传算法对轨道转移总冲量进行优化。以利用重力辅助机动将航天器从地球发射到另一行星为例,本文选择了将航天器从地球发射到近距离接近金星的火星。所采用的方法可用于一般的脉冲行星际任务,因此所得到的解可以成为低推力机动优化数值方法的初始解
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of a evolutionary algorithm to optimize interplanetary transfers
In this paper, it was studied the optimization of the cost of interplanetary missions with emphasis on reducing fuel consumption. To achieve this goal, a genetic algorithm was implemented to optimize the total impulse of orbital transfer. It was implemented a case of sending a space vehicle from Earth to a another planet using a gravity assist maneuver (swing by), in this paper it was chose sending a spacecraft from Earth to Mars with a close approach to the Venus. The method employed can be used for impulsive interplanetary missions in general, and so the solution found can become an initial solution for numerical methods of optimization of low thrust maneuvers
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