无人机集群对地攻击协同控制算法及性能度量研究

Research on cooperative control algorithm and performance measurementof UAV swarm in ground attack

为解决无人机集群在环境复杂环境中的对地攻击问题,建立了态势评估和目标分配模型,提出了基于一致性拍卖算法的目标分配算法,并设计了一种基于生物自组织行为规则的集群运动方法,驱使无人机集群向敌方地面目标飞行并发起武器进攻,以完成协同对地攻击任务。为验证算法的有效性,设计了无人机集群对地攻击协同控制仿真试验,验证了该方法下的无人机集群能够有效攻击敌方地面目标。此外,还建立了一套无人机集群对地攻击性能度量指标体系,针对三种同构无人机集群进行了对地攻击协同控制性能度量,进一步评估任务完成的效果。

To solve the problem of ground attack of unmanned aerial vehicle(UAV)swarm in the complex environment,models of situation assessment and target assignment are built,an algorithm of target assignment based on the consistency auction algorithm is proposed,and a method of swarm movement based on biological self-organization behavior rules is designed to drive the UAV swarm to fly toward enemy ground targets and attack them by weapons.In order to verify the effectiveness of these algorithms,the simulation is given to show that the UAV swarm can effectively attack enemy ground targets.In addition,a performance measurement index system of UAV swarm in ground attack is established to measure the performance of ground attack cooperative control for UAV swarms,which further evaluates the effectiveness of task completion.