|
カミヤ トシオ
Toshio KAMIYA
神谷 俊夫 所属 理工学部 総合理工学科 職種 教授 |
|
| 言語種別 | 英語 |
| 発行・発表の年月 | 2023/10 |
| 形態種別 | その他の著書・論文 |
| 標題 | Precise Orbit Prediction of LEO Satellite via Physics Informed Machine Learning |
| 執筆形態 | 共著 |
| 掲載誌名 | Proceedings of the International Astronautical Congress, IAC |
| 掲載区分 | 国外 |
| 担当区分 | 筆頭著者 |
| 国際共著 | 国際共著 |
| 著者・共著者 | Toshio Kamiya, Daisuke Etou, Francesco Alesiani, Makoto Takamoto |
| 概要 | In recent space missions, the more complicated the missions become, the more important autonomous spacecraft controllers are. In this study, we focus on a precise autonomous orbit prediction of LEO (Low-Earth Orbit) satellite. If a satellite could precisely predict its own orbit autonomously in-orbit, the observation performances will be better in accuracy and/or the maintenance operation costs can be reduced as the ground operations to update the orbital parameters can be less frequent. This paper proposes a precise orbit prediction of LEO satellite via physics informed machine learning. |