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A novel trajectories optimizing method for dynamic soaring based on deep reinforcement learning

Wanyong Zou Ni Li Fengcheng An Kaibo Wang Changyin Dong

防务技术2025，Vol.46Issue(4)：99-108,10.

防务技术2025，Vol.46Issue(4)：99-108,10.DOI:10.1016/j.dt.2024.12.007

A novel trajectories optimizing method for dynamic soaring based on deep reinforcement learning

Wanyong Zou ¹Ni Li ²Fengcheng An ¹Kaibo Wang ¹Changyin Dong²

作者信息

1. School of Aeronautics,Northwestern Polytechnical University,Xi'an 710072,China
2. School of Aeronautics,Northwestern Polytechnical University,Xi'an 710072,China||National Key Laboratory of Aircraft Configuration Design,Xi'an 710072,China
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摘要

关键词

Dynamic soaring/Differential flatness/Trajectory optimization/Proximal policy optimization

Key words

Dynamic soaring/Differential flatness/Trajectory optimization/Proximal policy optimization

引用本文复制引用

Wanyong Zou,Ni Li,Fengcheng An,Kaibo Wang,Changyin Dong..A novel trajectories optimizing method for dynamic soaring based on deep reinforcement learning[J].防务技术,2025,46(4):99-108,10.

基金项目

The authors wish to thank the support received by the National Natural Science Foundation of China(Grant Nos.52372398 &62003272). （Grant Nos.52372398 &62003272）

防务技术

ISSN：2214-9147

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