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首页> 外文期刊>The Journal of the Astronautical Sciences >Design of Satellite Formations in Orbits of High Eccentricity with Performance Constraints Specified over a Region of Interest
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Design of Satellite Formations in Orbits of High Eccentricity with Performance Constraints Specified over a Region of Interest

机译:在目标区域指定性能约束的高偏心度轨道上的卫星编队设计

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The Magnetospheric Multiscale (MMS) mission requires a formation of four satellites in a nearly regular tetrahedron throughout a Region of Interest (RoI), defined near the apogee of a highly eccentric reference orbit. In this paper, an approach for determining the differential mean orbital element initial conditions for formations in highly eccentric orbits to maximize a Quality Factor (QF) in a RoI is presented. Previous works on the design of formations in higheccentricity orbits have used numerical integration-based approaches for orbit propagation. We present a fast optimization scheme by using the Gim-Alfriend state transition matrix. Two optimization approaches are presented for the long-term MMS formation design: a single-orbit constrained (SOC) optimization, subject to an along-track drift condition, and a multi-orbit unconstrained (MOU) optimization. A new along-track drift condition is proposed to minimize the along-track drift only in certain portions of the orbit and is shown to produce much more stable long-term behavior of the QF than the previous condition. A verification of the results using the NASA General Mission Analysis Tool is provided. Under ideal conditions, i.e., without errors in the establishment of the initial conditions, the best formation can satisfy the MMS mission QF requirements for over 80 days without corrective action.
机译:磁层多尺度(MMS)任务要求在整个高感兴趣区域(RoI)的近乎规则的四面体中形成四颗卫星,该区域限定在高度偏心参考轨道的顶点附近。在本文中,提出了一种方法,用于确定高度偏心轨道中地层的微分平均轨道元素初始条件,以最大化RoI中的品质因数(QF)。先前有关高偏心度轨道编队设计的工作已使用基于数值积分的方法进行轨道传播。通过使用Gim-Alfriend状态转移矩阵,我们提出了一种快速优化方案。提出了两种用于长期MMS编队设计的优化方法:受沿轨漂移条件影响的单轨道约束(SOC)优化和无轨道多约束(MOU)优化。提出了一种新的沿轨漂移条件,以使仅在轨道的某些部分的沿轨漂移最小化,并且被证明会产生比先前条件更稳定的QF长期行为。提供了使用NASA总体任务分析工具对结果进行的验证。在理想条件下,即初始条件的建立没有错误,最佳编队可以在80天内满足MMS任务QF要求,而无需采取纠正措施。

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