Research On Cooperative Air Combat Decision Technology Of Advanced Fighter Based On Genetic Fuzzy Tree

Multi-aircraft cooperative air combat based on network-centric warfare is the development direction of modern war informatization construction.Multi-aircrafts cooperative operations can greatly improve the combat effectiveness of fighter formations.Therefore,research on multi-aircrafts cooperative air combat decision-making is of great significance to further enhance the overall combat effectiveness of advanced fighter formations.This paper mainly conducts research on advanced fighter cooperative air combat decision-making technology based on genetic fuzzy tree,builds multi-aircrafts cooperative air combat beyond-visual-range air combat and within-visual-range air combat decisionmaking model,and studies the problem of air combat decision technology based on the improved genetic algorithm and genetic fuzzy tree.The main contents of the paper are given as follows:Firstly,in view of the characteristics of advanced fighters beyond-visual-range air combat,an air combat situation analysis model based on the detection of the first enemy,the launch of the first enemy,and the ability to destroy the first enemy was constructed.From this model,the relative comprehensive air combat capabilities between the enemy and us can be obtained.Next,the threat assessment matrix of the enemy aircraft is obtained by the threat index method.In the end,the air combat capability of both sides and the threat evaluation matrix of the enemy aircraft are integrated to give a target allocation model.Secondly,an improved genetic algorithm is used to solve the optimal target allocation scheme for beyond-visual-range air combat.First of all,the optimal target allocation scheme is obtained based on the standard genetic algorithm.The simulation results verify the effectiveness and feasibility of the standard genetic algorithm and the over-horizon cooperative air combat model.Subsequently,research on the problem of the immature convergence and slow convergence of the standard genetic algorithm,the improved genetic algorithm’s Pc and Pm are determined by the fuzzy inference engine.In the end,the optimized genetic algorithm is optimized to obtain the optimal target allocation scheme,and compared with the standard genetic algorithm.The simulation shows that compared with the standard genetic algorithm,the improved genetic algorithm has improved the convergence speed,effectively avoided the immature convergence problem,and meets the real-time and accuracy requirements of the algorithm in a complex air combat environment.Then,based on the characteristics of within-visual-range air combat and the traditional model,taking into account the fighter’s within-visual-range air combat performance advantages,a withinvisual-range air combat situation analysis model is established.Then,the study of cooperative air combat target allocation within line-of-sight was conducted.A more practical maneuvering library with actual air combat was developed.And the three-degree-of-freedom centroid motion model of the fighter and the improved basic maneuvering track control model of the fighter are studied.In the end,based on the improved genetic algorithm,the simulation of cooperative air combat target allocation in line of sight is simulated.And the simulation verified the accuracy and effectiveness of the cooperative air combat model in line of sight.Finally,the focus is on the construction of the fuzzy tree for cooperative air combat decisionmaking in line of sight.Then,simulations are performed for the air combat situation where our aircraft is at an advantage and our aircraft is at a disadvantage.The simulation results show that the proposed fuzzy tree model is accurate and real-time.Subsequently,an improved genetic algorithm is proposed to solve fuzzy trees with higher accuracy and lower complexity.And strict binary tree matrix coding is introduced.Then,an improved genetic algorithm,learning algorithm of fuzzy tree model structure based on strict binary tree matrix coding is proposed.The genetic fuzzy tree model is used to simulate the example of air combat.The simulation verifies the accuracy of the proposed model.Compared with fuzzy tree model,genetic fuzzy tree has shorter decision time and better real-time performance.