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Use of a Genetic Algorithm to Assess Relative Motion in Highly Elliptic Orbits

机译:使用遗传算法评估高椭圆轨道上的相对运动

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摘要

This paper examines final rendezvous between two vehicles in highly elliptic orbits. The range of eccentricities addressed is 0.6 to 0.9. Due to the varying orbital speeds of the two vehicles, the relative motion during elliptic rendezvous is highly dependent on initial cfijli-ditions and differs significantly from the relative motion seen in circular rendezvous. #ie character of the motion has important implications for operational and safety considerations. The development of relative motion targeting and propagation procedures that output relative coordinates in a suitable curvilinear coordinate system is discussed. These procedures are subsequently combined with a genetic algorithm optimization that is used to globally characterize the solution space. Results of genetic algorithm studies are presented and a fuel-optimal family of solutions is identified for further study and characterization.
机译:本文研究了在高度椭圆轨道上的两个飞行器之间的最终会合点。偏心距的范围是0.6到0.9。由于两种飞行器的轨道速度不同,因此椭圆交会期间的相对运动高度依赖于初始交会,并且与圆形交会中的相对运动显着不同。议案的#ie特征对运营和安全考虑具有重要意义。讨论了在适当的曲线坐标系中输出相对坐标的相对运动瞄准和传播过程的发展。这些过程随后与遗传算法优化相结合,用于全局表征解空间。提出了遗传算法研究的结果,并确定了燃料最优的解决方案系列,以供进一步研究和表征。

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