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Learning-based multi-level impact point prediction method for long-range vehicles under the influence of a disturbing gravity field

Leliang Ren Yong Xian Shaopeng Li Daqiao Zhang Bing Li Weilin Guo

航天动力学（英文）2025，Vol.9Issue(3)：321-342,22.

航天动力学（英文）2025，Vol.9Issue(3)：321-342,22.DOI:10.1007/s42064-023-0184-2

Learning-based multi-level impact point prediction method for long-range vehicles under the influence of a disturbing gravity field

Leliang Ren ¹Yong Xian ¹Shaopeng Li ²Daqiao Zhang ¹Bing Li ¹Weilin Guo³

作者信息

1. Xi'an Research Institute of High Technology,Xi'an 710025,China
2. Xi'an Research Institute of High Technology,Xi'an 710025,China||Department of Automation,Tsinghua University,Beijing 100084,China
3. China Xi'an Satellite Control Center,Xi'an 710043,China
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摘要

关键词

impact point prediction(IPP)/disturbing gravity field/neural network(NN)/curriculum learning/elliptical trajectory/single-chip microcomputer

Key words

impact point prediction(IPP)/disturbing gravity field/neural network(NN)/curriculum learning/elliptical trajectory/single-chip microcomputer

引用本文复制引用

Leliang Ren,Yong Xian,Shaopeng Li,Daqiao Zhang,Bing Li,Weilin Guo..Learning-based multi-level impact point prediction method for long-range vehicles under the influence of a disturbing gravity field[J].航天动力学（英文）,2025,9(3):321-342,22.

基金项目

This study was co-supported by the National Natural Science Foundation of China(Grant No.62103432),the China Postdoctoral Science Foundation(Grant No.284881),and the Young Talent fund of the University Association for Science and Technology in Shaanxi,China(Grant No.20210108). （Grant No.62103432）

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