TY - GEN
T1 - Research on the Multi-aircraft Cooperative Autonomous Maneuver Decision Method for Confrontation with a Powerful Enemy
AU - Zhu, Fu
AU - Hou, Jiayin
AU - Sun, Chong
AU - Zhu, Zhanxia
AU - Ding, Dali
AU - Wan, Wenya
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Autonomous maneuver decision
KW - Cooperative operations
KW - Intelligent air combat
KW - Role assignment
KW - UCAV
UR - http://www.scopus.com/inward/record.url?scp=105000829307&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-2256-6_56
DO - 10.1007/978-981-96-2256-6_56
M3 - 会议稿件
AN - SCOPUS:105000829307
SN - 9789819622559
T3 - Lecture Notes in Electrical Engineering
SP - 560
EP - 569
BT - Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 15
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Deng, Yimin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2024
Y2 - 9 August 2024 through 11 August 2024
ER -