Researching | Predicting Impact Responses of the Spacecraft Soft Landing on the Airbag System by the Long Short-Term Memory Network

Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 6, 15(2024)

Predicting Impact Responses of the Spacecraft Soft Landing on the Airbag System by the Long Short-Term Memory Network

Xinyi SHEN1... Kang YU2, Jun YAN2, and Caishan LIU13,* |Show fewer author(s)

Author Affiliations

¹College of Engineering, Peking University, Beijing 100871, China

²Beijing Institute of Spacecraft System Engineering, Beijing 100094, China

³School of Science, Qingdao University of Technology, Qingdao 266520, China

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Table 1. The ranges for the input parameters
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Table 1. The ranges for the input parameters
v_x/(m/s) v_y/(m/s) p_m/kPa p_ab/kPa g_v/${g_{\text{n}}}$
0~8 0~15 101~130 130~160 3~7

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Xinyi SHEN, Kang YU, Jun YAN, Caishan LIU. Predicting Impact Responses of the Spacecraft Soft Landing on the Airbag System by the Long Short-Term Memory Network[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(6): 15

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Paper Information

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Received: Sep. 26, 2024

Accepted: --

Published Online: Jan. 23, 2025

The Author Email: LIU Caishan (liucs@pku.edu.cn)

DOI:10.3969/j.issn.1009-8518.2024.06.002

Topics

laser devices and laser physics

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laser manufacturing

Instrumentation, Measurement and Metrology