Research on the Multi-aircraft Cooperative Autonomous Maneuver Decision Method for Confrontation with a Powerful Enemy

Fu Zhu, Jiayin Hou, Chong Sun, Zhanxia Zhu, Dali Ding, Wenya Wan

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The platform of modern air combat fighters is developing towards being unmanned, intelligent, highly maneuverable and stealthy. Compared with a powerful enemy possessing high stealth, strong radar sensing and large maneuverability, an unmanned combat aerial vehicle (UCAV) with weak detection and mobility needs to use a cooperative method involving multiple UCAVs to carry out a confrontation. In view of this mission scenario, this article proposes a multi-UCAVs cooperative autonomous maneuver decision method. During air combat, multiple UCAVs improve combat effectiveness through collaborative sensing and collaborative confrontation. This article uses 3V1 intelligent air combat as an example to illustrate the role allocation and task allocation method. For different roles, we construct the situation function of UCAVs and design the corresponding autonomous maneuver decision algorithm. To verify the effectiveness of this method, this article conducts simulation experiments of 3V1 close-range air combat autonomous maneuver decision. The results showed that our UCAV achieved victory under conditions of poor maneuverability and completed role switching during the combat process. These results verified the effectiveness of the proposed method.

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 Volume 15
编辑Liang Yan, Haibin Duan, Yimin Deng
出版商Springer Science and Business Media Deutschland GmbH
560-569
页数10
ISBN(印刷版)9789819622559
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

出版系列

姓名Lecture Notes in Electrical Engineering
1351 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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