An Intelligent Penetration Guidance Law Based on DDPG for Hypersonic Vehicle

Rongyi Guo, Yibo Ding, Xiaokui Yue

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A novel intelligent guidance law based on Deep Deterministic Policy Gradient (DDPG) is devised in this paper to deal with problems of penetration for hypersonic boost glide vehicle (HBGV). Firstly, an agent based on DDPG algorithm is designed by setting a model of Markov decision process. Interacting with environment, the agent is trained to produce continuous overload command to avoid interception by one interceptor and ensure successful penetration for HBGV. Compared with traditional penetration guidance law, the new guidance law can intelligently deal with the complex offensive and defensive game problem. In addition, the designed reward of agent avoids excessive overloading which can save energy of HBGV. Finally, simulations are carried out, which prove that the guidance law enables HBGV to avoid interception by interceptor. The results in different test scenarios also illustrate that the intelligent guidance law has great generalization ability which can meet need of penetration in other offensive and defensive situations.

源语言英语
主期刊名Computational and Experimental Simulations in Engineering - Proceedings of ICCES 2023—Volume 3
编辑Shaofan Li
出版商Springer Science and Business Media B.V.
1349-1361
页数13
ISBN(印刷版)9783031449468
DOI
出版状态已出版 - 2024
活动29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023 - Shenzhen, 中国
期限: 26 5月 202329 5月 2023

出版系列

姓名Mechanisms and Machine Science
146
ISSN(印刷版)2211-0984
ISSN(电子版)2211-0992

会议

会议29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023
国家/地区中国
Shenzhen
时期26/05/2329/05/23

指纹

探究 'An Intelligent Penetration Guidance Law Based on DDPG for Hypersonic Vehicle' 的科研主题。它们共同构成独一无二的指纹。

引用此