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.

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Research on Anti-UAV Cluster Damage Assessment Technology

  • Zhijun Liu,
  • Jie Li,
  • Jian Shen,
  • Fan Liu,
  • Ziwang Zhang,
  • Xiaoguang Wang,
  • Pengyun Chen

摘要

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.