| 研究課題/領域番号 |
19F19328
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| 研究機関 | 国立研究開発法人宇宙航空研究開発機構 |
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研究代表者 |
藤本 正樹 国立研究開発法人宇宙航空研究開発機構, 宇宙科学研究所, 教授 (30242811)
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| 研究分担者 |
LIANG YUYING 国立研究開発法人宇宙航空研究開発機構, 宇宙科学研究所, 外国人特別研究員
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| 研究期間 (年度) |
2019-11-08 – 2022-03-31
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| キーワード | Astrodynamics / satellite orbit family / high-fidelity model / dust around Mars / solar radiational forces |
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| 研究実績の概要 |
1)Enlightened by the Martian Moon eXploration (MMX) mission, a point-to-point jumping transfer is developed systematically based on the prograde g’ family members around Phobos for the first time. Taking advantage of the boundness of this construction, a trajectory management package is developed to achieve multiple jumping transfers. Targeting at two scenarios, a standing broad jumping strategy is proposed based on the aforementioned results based on different actuators. 2) the evolution of particles around Mars is studied under solar radiational forces. Taking sun shadow into consideration, the numerical results further support that the shadowed PR force exert stronger effect on the particle with longer lifetime, leading to a negative effect on the semi-major axis.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The current status of the research goes well as scheduled in JSPS application. Importantly, instead of the “popular” distant retrograde orbit family, the potential application of prograde satellite families is studied. Furthermore, an interdisciplinary study on the dust evolution around Mars has been carried out and is being concluded in a journal publication. The astrodynamics study is closely combined with the planetary science, in order to provide information on the potential origin of Phobos and Deimos. The results on the evolution of dust around Mars will be feedbacked to science team of MMX mission, where a dust examinator will be equipped on the MMX probe. Investigation on the solar radiational forces triggers more discussions on their long-term shadowed effects.
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| 今後の研究の推進方策 |
The researcher is planning to step onto a new area in FY2021. As AI technique is booming up nowadays, a data-drive approach called invertible neutral network is studied thoroughly and introduced to the current research plan. Two applications are expected for the INN, i.e., the uncertain density distribution issue of highly irregular-shaped celestial body including Phobos and Deimos, and automatic orbit prediction in deep space mission. In particular, the spherical harmonic parameters Cij and Sij are then obtained accordingly and parameterize the density distribution. After training, any arbitrary state of spacecraft (not far from the training data) leads to certain density distribution. The final results obtained will be compared with the future in-situ data transmitted by MMX probe.
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