Research On Distributed Task Allocation Of Multi-UAV Cooperative Air Combat

The cooperatively technology among the UAVs is the key to whether the UAVs complete the assignments successfully or not while they are executing air action.It is a warm spot in UAV field that the UAVs achieve the complex task with inter-coordination through a reasonable control strategy.Cooperative task allocation ensures survivability of UAVs and the execution efficiency of the task.The problem of distributed task allocation in multi-UAV cooperative air combat is studied in this paper.Firstly,the problem of UAVs cooperative detecting is researched.The UAVs explore some where,when a UAV detectes a target,it establishes the state information of the target,and sends the message to friend aircraft.The friend aircraft contrast and fuse with their own information after they receive the massage,until the UAVs have consistent detection results.Then the combat situation model including situational advantage and situational threat is established based on the information of the targets that the UAVs have detected.Two algorithms for tasks allocation are proposed in this paper:ACBAA and DIAA.The ACBAA algorithm implemente tasks allocation through the circulation of the two stages:consensus and auction.DIAA includes two parts:inviting algorithm and auction algorithm.The former guarantees the tasks are allocated without conflict,and the latter guarantees the efficiency of the tasks allocation.Those two algorithms are simulated by using the model of the task allocation,and its feasibility and effectiveness are proved.Finally,the research results of this paper are summarized,and limitations of this research and expectation of the future work are pointed.