基于遗传算法的极短弧定轨

发布时间：2018-03-09 10:15

本文选题：航天器　切入点：天体力学　出处：《天文学报》2016年01期 　论文类型：期刊论文

【摘要】：空间目标的巡天观测获取了海量的极短弧观测数据,而经典初轨计算方法对于极短弧几乎不能获得合理的结果.将初轨计算问题转换为两个三变量的分层优化问题,采用遗传算法,针对具体问题选择了优化变量以及相应的遗传操作,建立了一种极短弧初轨计算方法.基于实测资料的数值实验表明,方法可为后续工作提供有效的初值.
[Abstract]:A large amount of very short arc observation data are obtained from the aerial survey of space target, but the classical initial orbit calculation method can hardly obtain reasonable results for the very short arc. The initial orbit calculation problem is transformed into two three variable hierarchical optimization problems. By using genetic algorithm, the optimization variables and the corresponding genetic operations are selected for specific problems, and a very short arc initial orbit calculation method is established. The numerical experiments based on the measured data show that the method can provide effective initial values for subsequent work.
【作者单位】：中国科学院紫金山天文台;中国科学院空间目标与碎片观测重点实验室;中国科学院大学;
【基金】：国家自然科学基金项目(11373072)资助
【分类号】：P173

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