GTOC8：欧洲航天局先进概念团队和JAXA-ISAS的成果与方法
GTOC8: Results and Methods of ESA Advanced Concepts Team and JAXA-ISAS
AI总结：
本文介绍了GTOC8比赛中，ACT-ISAS团队设计的星际轨迹优化方法，通过新算法实现最优轨迹，获得第一名，贡献包括月球探测、飞越技术及低推力优化等。
摘要：
我们考虑了第八届全球轨迹优化竞赛中的星际轨迹设计问题，并展示了ACT-ISAS团队（欧洲航天局先进概念团队与JAXA空间与航天科学研究所的联合体）开发的端到端策略。所设计的星际轨迹在比赛中获得第一名，最终任务价值为J=146.33[Mkm]。在此背景下开发了几种新算法，这些算法的兴趣超越了特定问题，因此进行了详细讨论。这些包括月球探测技术，允许从低地球轨道探测月球；1-k和2-k飞越探测技术，使设计共振飞越并确保未来形成平面在某个点后获得；分布式低推力探测技术，允许在1,000,000[km]范围内控制航天器形成平面；以及低推力优化技术，允许将形成平面的方位作为路径约束。
英文摘要：
We consider the interplanetary trajectory design problem posed by the 8th edition of the Global Trajectory Optimization Competition and present the end-to-end strategy developed by the team ACT-ISAS (a collaboration between the European Space Agency's Advanced Concepts Team and JAXA's Institute of Space and Astronautical Science). The resulting interplanetary trajectory won 1st place in the competition, achieving a final mission value of $J=146.33$ [Mkm]. Several new algorithms were developed in this context but have an interest that go beyond the particular problem considered, thus, they are discussed in some detail. These include the Moon-targeting technique, allowing one to target a Moon encounter from a low Earth orbit; the 1-$k$ and 2-$k$ fly-by targeting techniques, enabling one to design resonant fly-bys while ensuring a targeted future formation plane% is acquired at some point after the manoeuvre ; the distributed low-thrust targeting technique, admitting one to control the spacecraft formation plane at 1,000,000 [km]; and the low-thrust optimization technique, permitting one to enforce the formation plane's orientations as path constraints.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
