TY - GEN
T1 - Research on Anti-UAV Cluster Damage Assessment Technology
AU - Liu, Zhijun
AU - Li, Jie
AU - Shen, Jian
AU - Liu, Fan
AU - Zhang, Ziwang
AU - Wang, Xiaoguang
AU - Chen, Pengyun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - In order to solve the problem of serious lag of anti-UAV cluster technology and application, this study takes quadrotor UAV as the object, focuses on the damage of flight control and power system from the damage assessment of single aircraft; combines with the hit probability of munitions on cluster, establishes the meeting model of typical munitions and UAV, and provides support for the high-precision damage assessment simulation platform. The simulation results show that: for a single aircraft, the optimal incidence angle of damage is 60°, at which time the limit penetration velocity of the projectile penetrating the UAV is 696.68 m/s, and the probability of damage reaches 42.80%; for a cluster, it is difficult to achieve heavy damage by a single attack, and it is necessary to increase the number of bombs received by the same UAV by multiple rounds of shooting in order to enhance the probability of damage. The UAV target vulnerability model and the cluster damage assessment framework established in the study provide the theoretical and technical basis for the optimization of anti-swarm combat.
AB - In order to solve the problem of serious lag of anti-UAV cluster technology and application, this study takes quadrotor UAV as the object, focuses on the damage of flight control and power system from the damage assessment of single aircraft; combines with the hit probability of munitions on cluster, establishes the meeting model of typical munitions and UAV, and provides support for the high-precision damage assessment simulation platform. The simulation results show that: for a single aircraft, the optimal incidence angle of damage is 60°, at which time the limit penetration velocity of the projectile penetrating the UAV is 696.68 m/s, and the probability of damage reaches 42.80%; for a cluster, it is difficult to achieve heavy damage by a single attack, and it is necessary to increase the number of bombs received by the same UAV by multiple rounds of shooting in order to enhance the probability of damage. The UAV target vulnerability model and the cluster damage assessment framework established in the study provide the theoretical and technical basis for the optimization of anti-swarm combat.
KW - Clusters
KW - Damage assessment
KW - Target vulnerability
KW - UAV
UR - https://www.scopus.com/pages/publications/105031556737
U2 - 10.1007/978-981-95-3312-1_11
DO - 10.1007/978-981-95-3312-1_11
M3 - Conference contribution
AN - SCOPUS:105031556737
SN - 9789819533114
T3 - Lecture Notes in Electrical Engineering
SP - 109
EP - 118
BT - Proceedings of the 17th International Conference on Modelling, Identification and Control, ICMIC2025 - Volume I
A2 - Su, Tingli
A2 - Sheng, Ning
A2 - Chen, Qiang
A2 - Zhang, Weicun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Conference on Modelling, Identification and Control, ICMIC 2025
Y2 - 13 June 2025 through 15 June 2025
ER -