Attitude Control using Iterative Learning Control Considering Orbital Motion of NRHO

Yuta Hayashi, Mai Bando, Shinji Hokamoto

研究成果: ジャーナルへの寄稿会議記事査読

抄録

Recently, deep space exploration has advanced particularly with orbital characteristics of NRHO being widely studied. However, studies for spacecraft autonomy have not progressed well. A control law that combines feedback control and Iterative Learning Control(ILC) is applied to the attitude control system of a spacecraft, and furthermore, the control input is realized by a CMG capable of high output, with the aim of improving the attitude tracking control system step by step by increasing the orbital motion.

本文言語英語
ジャーナルProceedings of the International Astronautical Congress, IAC
2023-October
出版ステータス出版済み - 2023
イベント74th International Astronautical Congress, IAC 2023 - Baku, アゼルバイジャン
継続期間: 10月 2 202310月 6 2023

!!!All Science Journal Classification (ASJC) codes

  • 航空宇宙工学
  • 天文学と天体物理学
  • 宇宙惑星科学

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