UAV Formation Using a Dynamic Task Assignment Algorithm with Cooperative Combat

As the research model of Unmanned Aerial Vehicle (UAV) formation, it is required to complete the combat tasks such as covering reconnaissance, processing battlefield information and striking targets. A cooperative combat model is proposed to assign combat tasks and plan flight paths for Unmanned Aerial Vehicles (UAVs) in scenarios that need to perform differentiated missions. In view of the UAV function's failure and fail to complete the assigned task, a dynamic task adjustment algorithm is proposed to distinguish the mission stages. Based on the task allocation scheme, the hierarchical adjustment strategy is developed, which take the adjustment time, communication cost and adjustment load into consideration respectively, so as to reduce the adjustment cost and improve the combat capability of the UAV formation on the basis of ensuring the completion of the combat task. Taking the combat formation of UAV as the simulation model, the results show that the proposed algorithm can reduce the adjustment cost and improve the combat capability of the formation on the premise that the formation can complete the combat task.