1. 重庆建设工业(集团)有限责任公司,重庆,401300
2. 哈尔滨工业大学,黑龙江,哈尔滨,150001
3. 中北大学 机电工程学院,山西,太原,030051
收稿:2025-10-22,
网络首发:2026-04-03,
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蔡崧,贺斌娜,董超. 转管机枪反无人机武器系统弹道仿真及命中概率计算[J/OL]. 兵工学报, 2026(2026-04-03). https://doi.org/10.12382/bgxb.2025.0945.
CAI S, HE B N, DONG C. Research on hit probability and ballistic simulation system of anti-uav weapon system based on rotary-barrel machine gun[J/OL]. Acta Armamentarii, 2026(2026-04-03). https://doi.org/10.12382/bgxb.2025.0945. (in Chinese)
蔡崧,贺斌娜,董超. 转管机枪反无人机武器系统弹道仿真及命中概率计算[J/OL]. 兵工学报, 2026(2026-04-03). https://doi.org/10.12382/bgxb.2025.0945. DOI:
CAI S, HE B N, DONG C. Research on hit probability and ballistic simulation system of anti-uav weapon system based on rotary-barrel machine gun[J/OL]. Acta Armamentarii, 2026(2026-04-03). https://doi.org/10.12382/bgxb.2025.0945. (in Chinese) DOI:
面对“低慢小”无人机及蜂群威胁,转管机枪凭借高射速、持续火力优势,成为核心末端防御装备。但传统命中概率模型忽视高射速下身管旋转产生的离心、科氏惯性力对弹丸初速的动态影响,导致预测偏差显著。通过对命中概率的关键影响因素进行系统分析,以离心、科氏惯性力为切入点,分解弹丸初速的轴向、向心分量,结合身管旋转切向速度推导初速修正公式,融入外弹道模型构建命中概率修正模型;基于QT框架开发仿真系统,支持参数配置、弹道3D可视化及多工况命中概率计算。仿真与实验结果表明:针对大疆精灵4与奋斗者VTOLmini两类典型无人机目标,系统计算结果与实弹实验数据平均相对误差为7.36%,最大相对误差为13%,显著提升了转管机枪武器系统的命中概率模型精度,可有效支撑反无人机武器系统作战效能评估。
In response to the growing threat posed by“low-altitude
slow-speed
small-size”(LSS) drones and drone swarms
Gatling guns have emerged as a key terminal-defense weapon system due to their high rate of fireand sustained firepower. However
conventional hit probability models neglect the dynamic influence of centrifugal and Coriolis inertial forces--induced by rapid barrel rotation at high firing rates—on projectile muzzle velocity
resulting in significant prediction errors that compromise precision interception capability. A systematic analysis of critical factors affecting hit probability is conducted
with centrifugal and Coriolis effects serving as the foundation for decomposing the axial and radial components of muzzle velocity. A corrected muzzle velocity formulation is derived by incorporating the tangential velocity of the rotating barrels and integrated into an external ballistic model to establish an enhanced hit probability model. Furthermore
a simulation system based on the Qt framework is developed
enabling parameter configuration
3D trajectory visualization
and multi-scenario hit probability computation. Simulation and live-fire experimental validation demonstrates that
for two representativeUAV targets (DJI Phantom 4 and Fendouzhe VTOL Mini)
the average relative error between the system's calculated results and the live-fire measured data is 7.36%
with a maximum relative error of 13%. This work thereby significantly improves the fidelity of hit probability modeling for Gatling gun-based anti-UAV weapon systems
and provides robust technical support for the operational effectiveness evaluation of such systems.
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