Improvement and verification of satellite dynamics simulator based on flight data analysis

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

The ground test environment is established for rapid development and raising high operational reliability of micro-satellites. It aims to verify the attitude determination and control system (ADCS) in hardware-in-the-loop simulation. In this research, the performance of simulator is improved and verified based on flight data of real satellite. Space Robotics Laboratory (SRL) of Tohoku University has developed two 50-kg-class micro-satellites. Due to a short development term, the ground verification environment is required for supporting rapid development of ADCS. SRL established a Model-based Environment for Verification and Integration of μ-Satellites called 'MEVIμS', which works as a hardware-in-the-loop simulator to evaluate real satellite hardware on ground. Due to its versatility, it can apply for other satellites. The flight data obtained from Philippines' micro-satellite called 'DIWATA-1' which is currently working for remote sensing over Philippines are analyzed on ground. Then, orbit and attitude dynamics calculators implemented on the simulator are improved and verified based on its flight data. The results demonstrate that dynamics calculators are authentic and this system is practical to conduct ADCS evaluation in static closed loop simulation.

本文言語English
ホスト出版物のタイトルSII 2017 - 2017 IEEE/SICE International Symposium on System Integration
出版社Institute of Electrical and Electronics Engineers Inc.
ページ686-691
ページ数6
ISBN(電子版)9781538622636
DOI
出版ステータスPublished - 2018 2 1
イベント2017 IEEE/SICE International Symposium on System Integration, SII 2017 - Taipei, Taiwan, Province of China
継続期間: 2017 12 112017 12 14

出版物シリーズ

名前SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
2018-January

Other

Other2017 IEEE/SICE International Symposium on System Integration, SII 2017
CountryTaiwan, Province of China
CityTaipei
Period17/12/1117/12/14

ASJC Scopus subject areas

  • Modelling and Simulation
  • Instrumentation
  • Artificial Intelligence
  • Computer Science Applications
  • Engineering (miscellaneous)
  • Materials Science (miscellaneous)
  • Control and Optimization

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