Research on MAV-UAV cooperative air combat maneuver decision

Abstract

At present,the research on UAV air combat mainly considers the fully autonomous decision-making maneuver algorithm of UAV,and the research on the air combat maneuver decision-making under the limited supervision decision of UAV is rare,let alone the research on manned aerial vehicle and unmanned aerial vehicle (MAVUAV) cooperative combat. In order to realize the autonomous maneuver of UAV in the process of cooperative air combat,a maneuver decision model for MAV-UAV cooperative air combat is designed on the basis of path planning technology. First,the dynamic grid environment is introduced to adaptively adjust the grid scale and resolution,so as to make up for the defect that,the larger the static grid environment planning space is,the lower the planning efficiency will be. Then,by taking the path planned using A star algorithm as the reference path,the ACO-A star hybrid path planning algorithm is proposed to improve the optimization efficiency of ACO algorithm.Finally,based on the mean clustering algorithm,a maneuver decision algorithm for MAV-UAV cooperative air combat is designed. The air combat simulation result shows that the proposed model has better decision correctness and can effectively improve the air combat victory rate.

Keywords

• uav
• air combat
• cooperative decision-making
• aco (ant colony optimization)
• a star algorithm