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An efficient algorithm for global periodic orbits generation near irregular-shaped asteroids

机译:一种在不规则形状的小行星附近生成全局周期轨道的有效算法

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Periodic orbits (POs) play an important role in understanding dynamical behaviors around natural celestial bodies. In this study, an efficient algorithm was presented to generate the global POs around irregular-shaped uniformly rotating asteroids. The algorithm was performed in three steps, namely global search, local refinement, and model continuation. First, a mascon model with a low number of particles and optimized mass distribution was constructed to remodel the exterior gravitational potential of the asteroid. Using this model, a multi-start differential evolution enhanced with a deflection strategy with strong global exploration and bypassing abilities was adopted. This algorithm can be regarded as a search engine to find multiple globally optimal regions in which potential POs were located. This was followed by applying a differential correction to locally refine global search solutions and generate the accurate POs in the mascon model in which an analytical Jacobian matrix was derived to improve convergence. Finally, the concept of numerical model continuation was introduced and used to convert the POs from the mascon model into a high-fidelity polyhedron model by sequentially correcting the initial states. The efficiency of the proposed algorithm was substantiated by computing the global POs around an elongated shoe-shaped asteroid 433 Eros. Various global POs with different topological structures in the configuration space were successfully located. Specifically, the proposed algorithm was generic and could be conveniently extended to explore periodic motions in other gravitational systems. (C) 2017 Elsevier B.V. All rights reserved.
机译:周期轨道(PO)在了解自然天体周围的动力学行为中起着重要作用。在这项研究中,提出了一种有效的算法来围绕不规则形状的均匀旋转的小行星生成全局PO。该算法分三个步骤执行,即全局搜索,局部优化和模型延续。首先,建立了一个低粒子数量和优化质量分布的mascon模型,以重塑小行星的外部重力势。使用该模型,采用了偏转策略增强的多起点差分进化,该偏转策略具有强大的全局探测和绕过能力。该算法可以看作是一个搜索引擎,可以找到潜在PO所在的多个全局最优区域。随后,应用差分校正来局部优化全局搜索解决方案,并在mascon模型中生成准确的PO,在该模型中派生了解析雅可比矩阵以提高收敛性。最后,引入了数值模型连续性的概念,并通过顺序校正初始状态将其用于将PO从Mascon模型转换为高保真多面体模型。通过计算围绕细长的鞋形小行星433 Eros的全局PO来证实所提出算法的效率。在配置空间中成功定位了具有不同拓扑结构的各种全局PO。具体来说,所提出的算法是通用的,可以方便地扩展以探索其他引力系统中的周期性运动。 (C)2017 Elsevier B.V.保留所有权利。

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