高炮反无人机目标分配建模及优化算法研究  

Research on Target Assignment Modeling and Optimization Algorithm of Antiaircraft Gun Anti-UAV

作　　者：张驰 张春[1] ZHANG Chi;ZHANG Chun(Northwest Institute of Mechanical&Electrical Engineering,Xianyang 712099,Shaanxi,China)

机构地区：[1]西北机电工程研究所,陕西咸阳712099

出　　处：《火炮发射与控制学报》2022年第2期15-19,25,共6页Journal of Gun Launch & Control

摘　　要：随着无人机的快速发展,对防空目标的火力分配的要求更高、难度更大。针对传统高炮抗击蜂群无人机作战效能低、目标分配方案评估困难等问题,提出一种基于SA-DPSO混合优化算法的高炮拦截蜂群无人机目标分配模型。该模型建立了完善的高炮抗击蜂群无人机的目标分配评估的指标体系,以毁伤概率为优化目标,同时兼顾火力资源消耗,采用SA-DPSO混合优化算法对模型进行最优值求解,以提高算法的全局搜索能力,避免陷入局部极值。通过多目标分配的实例分析,验证了该模型的合理性,表明该模型可以为高炮抗击蜂群无人机的高效打击提供有效的决策依据。With the rapid development of UAV,the requirement of firepower distribution for air defense target is higher and more difficult.In order to solve the problems of low combat effectiveness of traditional anti-aircraft gun against bee colony UAV and difficult evaluation of target allocation scheme,a target allocation model of anti-aircraft gun intercepting bee colony UAV based on SA-DPSO hybrid optimization algorithm is proposed.The model establishes a perfect target allocation evaluation index system of anti-craft gun against bee colony UAV,takes the damage probability as the optimization objective,and takes into account the fire resource consumption.SA-DPSO hybrid optimization algorithm is used to solve the optimal value of the model to improve the global search ability of the algorithm and avoid falling into local extremum.The rationality of the model is verified by the example analysis of multi-target assignment,which shows that the model can provide effective decision making basis for anti-aircraft gun to fight against bee colony UAV.

关 键 词：反无人机 目标分配模型 模拟退火算法 离散粒子群算法 

分 类 号：TJ35[兵器科学与技术—火炮、自动武器与弹药工程]