Study On Multi-aircraft Cooperative Interception For Cluster Targets

Compared with individual vehicles,vehicle clusters have the characteristics of low cost,high efficiency,and resistance to attrition.Therefore,aircraft clusters are widely used on the battlefield and are an important trend in the development of the future battlefield environment,while also posing a great challenge to defense technology.The use of lowcost clusters against clusters can effectively eliminate the threat posed by aircraft clusters.The thesis is oriented to the scenario of aircraft interception against aerial cluster targets,in which the aircraft is an interceptor missile in the actual operation and the interceptor object is a cluster UAV,to study its intelligent cooperative guidance and control problems and to realize multi-flight autonomous cooperative operation,which has certain theoretical significance and engineering value to the future defense career.The thesis takes the cooperative flight control problem of dense coverage of cluster target airspace by multiple vehicles as the foothold and researches the algorithms of area coverage control,fixed time consistency and cooperative guidance law to solve the problem of simultaneous coverage of interception cluster target airspace by multiple vehicles.The main innovative results of the dissertation include:1.Researching the area coverage control problem of the airspace where the cluster targets are located.Based on the distribution function of cluster targets in the target area and the damage radius when the vehicle explodes,a mathematical model of the multi-flight area coverage control problem is established.Based on the area coverage control theory under the probability model,the greedy gradient coverage control algorithm is proposed:the optimal solution obtained by the greedy algorithm is used as the initial condition,and the distributed gradient algorithm is used to determine the optimal deployment position of each vehicle in the target area,which is taken as the final target point of the vehicle.2.To study the fixed-time consistency problem of second-order multi-intelligent body systems containing external perturbations.Multi-vehicle cooperative interception mission requires that multiple vehicles can reach their respective target locations simultaneously,simplifies the multi-vehicle system into a second-order multi-intelligent body model,and designs a fixed-time consistency protocol for the multi-intelligent system.Meanwhile,based on the previous consistency algorithm,the fixed-time consistency algorithm for a multi-intelligent system with external interference is proposed considering that there will be model uncertainty and external interference in the system model.3.The above method is applied to the control problem of multi-vehicle cooperative interception of cluster targets.The center-of-mass dynamics motion model of the vehicle is constructed to establish a system of equations for the relative motion relationship between the projectile and the target in three-dimensional space,and the residual time of flight and line-of-sight angular rate cooperative guidance law of the multi-flight vehicle are designed based on the fixed time consistency,respectively.At the same time,we combine the area coverage control algorithm to determine the respective target positions of the vehicles and complete the cooperative interception of the cluster targets in the air by multiple vehicles.