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Trajectory optimization for solar sail in cislunar navigation constellation with minimal lightness number

机译:亮度数最小的顺流导航星座的太阳帆轨迹优化

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In view of the limitations of the existing libration-point satellite navigation systems in cislunar space, this paper replaces satellites with solar sails to construct a cislunar navigation constellation and is devoted to the trajectory optimization of solar sails to minimize the lightness number control. The Artificial Lagrangian Points (ALPS) yielded by solar sail in the Sun-Earth+Moon system benefit from the advantages of numberless equilibria and out-of-plane displacement, when compared with the classical Lagrangian points. Limited to the manufacturing of sail film in practice, the candidate constellation architecture in the shape of a cube is constructed based on the optimization of the average lightness number required at ALPs. Considering the lunar gravity, the Hamiltonian-structure-preserving (HSP) controller achieved by changing the sail's attitude and lightness number is developed to stabilize the sails' trajectories near the ALPs. Moreover, an optimal quasi-periodic trajectory with minimum lightness number control is searched for through differential evolution algorithm evolving the controller gains and initial states of orbits. There are three important contributions of the trajectory optimization for a sail in the cislunar navigation constellation: firstly, the large amounts of ALPs break the restrictions on the number and plane of the five classical Lagrangian equilibrium solutions to enlarge the selection of constellations; secondly, the station keeping tool HSP controller powerfully ensures the boundedness of the ALP's trajectory; thirdly, using the optimization algorithm to generate ALP orbits effectively avoids the time consumption of differential correction, which is more convenient and general for the natural trajectory design of ALPs. (C) 2017 Elsevier Masson SAS. All rights reserved.
机译:鉴于现有的月球空间解放点卫星导航系统的局限性,本文将太阳帆替换为卫星,以构造一个月球导航星座,并致力于太阳帆的轨迹优化,以最小化亮度数字控制。与经典的拉格朗日点相比,太阳-地球+月球系统中太阳帆产生的人工拉格朗日点(ALPS)受益于无数平衡和平面外位移的优势。实际上限于航行薄膜的制造,基于ALP所需的平均明暗度数的优化来构造立方体形状的候选星座构架。考虑到月球重力,开发了通过改变帆的姿态和轻度数实现的哈密尔顿结构保持(HSP)控制器,以稳定帆在ALP附近的轨迹。此外,通过对控制器增益和轨道初始状态进行演化的差分进化算法,寻找具有最小明度数控制的最优准周期轨迹。顺滑导航星座中帆的轨迹优化有三个重要贡献:首先,大量的ALP打破了五个经典拉格朗日平衡解的数量和平面限制,从而扩大了星座的选择范围;其次,站点保持工具HSP控制器有力地确保了ALP轨迹的有界性。第三,采用优化算法生成ALP轨道有效地避免了差分校正的时间消耗,这对于ALP的自然轨迹设计更为方便和通用。 (C)2017 Elsevier Masson SAS。版权所有。

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