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Rapid Prediction Method of Impact Point for Spin-Inertial Reentry Under the Boundary-Layer Transition

  • Shaoyue He
  • , Qixin Ma
  • , Qiang Li
  • , Qiuqiu Wen*
  • , Fei Peng
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • Beijing Institute of Electrical and Mechanical Engineering
  • Beijing Institute of Space Long March Vehicle
  • Science and Technology on Near-Surface Detection Laboratory

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the reentry process, the boundary-layer transition (BLT) is a common phenomenon which can cause aerodynamic interference. BLT also leads to attitude oscillations, resulting in positional deviations of the impact point. To estimate the deviation early and make corrections accordingly, in this paper, the Rapid prediction Method for Impact Point of Spin-Inertial Reentry (RPM) is proposed. Firstly, the additional trim angle-of-attack is established to simulate the aerodynamic interference during the reentry process. An equivalent model of BLT interference is established with two variables -transition force and the transition moment. Then, in order to obtain the transfer relationship from external inputs to the velocity angle, the equivalent model is incorporated into the state equations. By simplifying transfer functions, the RPM under the influence of BLT interference is developed. Finally, compared with the results of traditional six-degree-of-freedom simulation calculations, the RPM can accurately calculate the impact point with fewer steps.

源语言英语
主期刊名Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control
编辑Liang Yan, Haibin Duan, Yimin Deng
出版商Springer Science and Business Media Deutschland GmbH
596-606
页数11
ISBN(印刷版)9789819622511
DOI
出版状态已出版 - 2025
活动International Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, 中国
期限: 9 8月 202411 8月 2024

丛书

姓名Lecture Notes in Electrical Engineering
1350 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议International Conference on Guidance, Navigation and Control, ICGNC 2024
国家/地区中国
Changsha
时期9/08/2411/08/24

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