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Optimal trajectory determination and mission design for asteroid/deep space exploration via multi-body gravity assist maneuvers

机译:通过多体重重力辅助机动的小行星/深空勘探的最佳轨迹确定与任务设计

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This paper investigates a genetic algorithm based space exploration mission design and trajectory development procedure that allows to determine non-intuitive optimal transfer trajectories to deep-space objects (such as asteroids) that might otherwise be difficult to approach using simpler, analytical methods. Through this methodology, two algorithms are developed. The first one calculates a direct trajectory to Ceres from Earth, and the second calculates a trajectory to Ceres that gets a gravity assist from Mars en route. Simulation results demonstrate the power of such genetic algorithms based methodologies of obtaining global optimal solutions/paths/trajectories.
机译:本文研究了基于遗传算法的空间探索任务设计和轨迹开发过程,允许将非直观的最佳转移轨迹确定为深空对象(如小行星),否则可能难以使用更简单的分析方法难以接近的。通过这种方法,开发了两种算法。第一个将直接轨迹计算为来自地球的Ceres,并且第二个将轨迹计算到从火星途中获得重力辅助的Ceres。仿真结果表明了基于基于遗传算法的基于方法的能力,获得了获得全局最佳解决方案/路径/轨迹的方法。

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