Research On Optimal Occupancy Guidance Method For Autonomous Air Combat Of UAV

Air combat is one of the key factors leading the direction of the modern war,in which whoever having the air supremacy will occupy the battlefield advantage.Developing intelligent decision system for air-combat UAV has attracted the attention of the aviation powers.In the course of air combat,how to make decisions for air-combat UAV in real time according to the acquired battlefield information,to realize rapid and reasonable occupancy guidance and achieve the attack conditions for weapon striking before the opponent is the key to obtain the air combat victory.This paper carries out research on the optimal occupancy guidance method of UAV in autonomous air combat.The advantages and disadvantages of traditional decision-making methods such as expert system and moving horizon in solving the problem of space occupancy guidance of UAV in air combat are analyzed.Aiming at the defects of the above methods,an optimal space occupancy guidance method based on dynamic Bayesian network for air-combat UAV is proposed.According to the autonomous decision-making process of UAV in air combat,the problem is divided into three aspects to solve.Firstly,according to the characteristics of fighter maneuver in air combat,a dynamic Bayesian network model for target maneuver identification is established.In addition,target trajectory prediction model is built for each type of maneuver identified online,so as to realize the real-time prediction of target trajectory.Then,combined with space occupancy situation,equipment performance information and target maneuver identification results,optimal space occupancy decision for UAV in air combat is modeled based on dynamic Bayesian network.The decision model realizes the intelligent selection of optimization index function of maneuver.Finally,considering the constraint of UAV flight performance,the optimal control gradient method is adopted to realize the optimal calculation of UAV occupancy guidance quantity.In order to verify the feasibility,rationality and optimization of the above methods,an air combat simulation platform is built and a UAV combat simulation experiment is carried out.The experimental results show that the method proposed in this paper can realize the intelligent decision of optimal occupancy guidance index,and the real-time calculation of UAV optimization occupation guidance quantity,which improves the intelligence and autonomy of UAV in air combat,and has practical engineering application value.