摘要
为提高小型蜂群无人机紧密编队协同飞行时的整体气动效率,强化系统作战效能,文中以某蜂群无人机平台为研究对象,对其集群编队飞行时的气动耦合问题进行了深入研究。针对不同作战任务场景,设计了几类以典型长-僚机编队为模块单元的编队飞行结构,利用耦合涡流模型的数值仿真方法,完成了双机编队单元的寻优设计,同时基于双机编队单元优化结果,运用遗传算法,得到集群飞行时,各无人机单元气动增量数据传递信息,并辅以计算流体力学仿真验证,确定了完整的气动数据传递体系。最终建立了多任务、多条件、多目标导向的气动耦合优化模型,实现了集群优化飞行策略方法,达到了作战能力倍增的效果。
To improve the whole aerodynamic efficiency and combat capability of swarm in close formation,some coupling problems are studied by focusing on a swarm configuration.According to different combat mission scene,this paper designs several formations of leader-follower type structure as units.The optimization design of two-vehicle unit is completed by numerical simulation method with vortex model.Meanwhile,taking advantage of the result and computational fluid dynamics,the research achieves aerodynamic coupling optimization model based on genetic algorithm.Finally,the method of cluster optimization flight strategy is realized and the effect of increasing combat capability is achieved.
作者
王辰
黎军
富佳伟
姚富宽
WANG Chen;LI Jun;FU Jiawei;YAO Fukuan(Shenyang Aircraft Design&Research Institute,Shenyang 110035,China)
出处
《飞机设计》
2019年第2期15-19,共5页
Aircraft Design
关键词
气动耦合
长-僚机编队
遗传算法
优化模型
aerodynamic coupling
leader-follower structure
genetic algorithm
optimization model