Design And Implementation Of Cooperative Adversarial System Based On Swarm Intelligence For Unmanned Aerial Vehicles

Based on the application requirements of collaborative perception,planning and coordination of unmanned swarm in dynamic confrontation environment,this paper designed a typical UAVs cooperative confrontation,and built a software system for UAV swarm cooperative ECM for high-speed target interception.UAV swarm carried lowpower electronic interference devices,and achieve adaptive collaborative task allocation,path planning and proximity interception based on the decentralized swarm Intelligent coordination model.It forms a continuous interception capability for high-speed targets from random direction in three-dimensional space,which ensures the security of our protected objects.Specifically,this paper builds a multi-agent based swarm coordination software architecture,establishes a Swarm Intelligence based coordination algorithm for UAV swarm,and systematically simulates the autonomous coordination decision-making process of UAV swarm by building a simulation environment of UAV swarm Countermeasure.UAV only bases on local situation,and makes decentralized task planning based on confrontation rules and f interactive information through the modeling of pheromone,and adaptively generates UAV paths and interception activity.Swarm Intelligence algorithm eventually achieve the emergence of continuous disruptive and deceptive activity against invading targets,which verifies the autonomous decisionmaking and coordination task planning effectiveness of the swarm.The main contents of this paper include the following three parts:(1)Software multi-agent modeling of UAV swarm,includes: Combat environment model,agent modeling of UAV(unmanned aerial vehicle status,anti-aircraft action,unmanned aerial observation,unmanned aerial vehicle utility,etc.);multi-agent modeling of UAV swarm(swarm utility,swarm state and situation etc.);agent modeling of intrusion targets,etc.(2)Then builds coordination algorithm for UAV swarm based on swarm intelligence,includes: the pheromone of swarm,collaborative task allocation,UAV own path planning and the design and implementation of swarm intelligence algorithm for individual path Planning and ECM activity Planning.(3)The implementation of typical simulation system,including: the design and implementation of UAV coordination information interaction middleware;the establishment of simulation environment in typical application scenarios;the modeling and visualization of coordination countermeasure performance and the design and implementation of multi-agent coordination of opposing red versus blue.