动态协同空战攻击决策问题研究  

Research on Attack Decision-making of Dynamic Cooperative Air Combat

作　　者：周思羽 范庚 ZHOU Siyu;FAN Geng(Qingdao Branch,Naval Aeronautical University,Qingdao 266041,China)

机构地区：[1]海军航空大学青岛校区,山东青岛266041

出　　处：《火力与指挥控制》2023年第4期135-140,共6页Fire Control & Command Control

摘　　要：攻击决策问题是协同空战领域研究的核心问题之一,通过优化战机武器资源配置,以提高战机协同作战效能。针对动态协同空战攻击决策问题,系统分析空战环境的动态性,将空战动态划分为连续动态和离散动态,并建立多约束条件下动态协同空战攻击决策优化模型;设计了空战环境变化监测策略和种群多样性策略,通过迭代窗的设置,基于离散粒子群算法,提出了一种基于滚动迭代窗的启发式变异离散粒子群算法的动态协同攻击决策方法。通过仿真实验验证了所提方法能够在连续和离散动态条件下合理地规划协同空战攻击决策。Attack decision-making is one of the core issues in the field of cooperative air combat.By optimizing the configuration of fighter weapon resources,the efficiency of cooperative air combat can be improved.Aiming at the problem of attack decision-making of dynamic cooperative air combat,the dynamic feature of the air combat environment is systematically analyzed,the air combat dynamic states are divided into continuous dynamic state and discrete dynamic state,the dynamic cooperative air combat attack decision-making optimization model under multiple constraints is established,the air combat environment change monitoring strategy and population diversity strategy are designed,and by the setting of iterative window,the dynamic air combat attack decision-making method based on the heuristic mutation discrete particle swarm optimization algorithm of rolling iterative window.The simulation results show that the proposed method can reasonably plan the cooperative air combat attack decision-making under continuous and discrete dynamic conditions.

关 键 词：协同空战 攻击决策 动态态势 智能算法 离散粒子群 

分 类 号：E848[军事—战术学] V247[航空宇航科学与技术—飞行器设计]