Research On Method Of Task Allocation Of Multi-UAV Cooperative BVR Air Combat

With the rapid development of unmanned aerial vehicle(UAV)technology,multi-UAV cooperative combat will play an important role in future air combat.The multi-UAV collaborative combat system possess the characteristics of highly shared information,highly integrated tasks,and highly optimized resources,which can carry out tasks such as collaborative awareness,cooperative interference and coordinated attack between UAVs.And it improves the survival probability and the task execution efficiency of UAV.In this paper,in order to improve the intelligence and autonomy of multiple cooperative UAVs in air combat,a mission planning method for multi-UAV cooperative air combat is proposed.According to the mission planning process of multi-UAV cooperative air combat,the problem is divided into three aspects to solve.Firstly,with the battlefield situation information,target formation attributes and target maneuver strategy prediction results,a cooperative tactical intent reasoning model for target formation based on dynamic Bayesian network is established.And the chain network inference algorithm is used to infer the tactical intention of target formation in real time.Then,considering the space occupancy situation,weapon performance difference between the two sides,the future flight trajectory of the target and the tactical intention of target formation,the comprehensive model of target threat assessment is built.Based on the above work,the mission planning method for multi-UAV cooperative air combat based on ant colony algorithm is proposed to select the optimization index for UAV flight guidance.Considering the flight performance constraints of the UAV,the optimal control gradient method is adopted to calculate the UAV flight guidance control quantity,so as to achieve the autonomously optimized flight guidance.In order to verify the feasibility,rationality and optimization of the above method,a multiUAV cooperative air-combat simulation platform was built and a simulation experiment was carried out.The experimental results show that the mission planning method for multi-UAV cooperative air combat can output optimized mission planning results in real time according to the changes of battlefield environment,which improves the intelligence and autonomy of multiUAV cooperative air combat,and possess practical engineering application value.