1.XiJing University;2.Air Force Engineering University,Xi’an,Shaanxi
有人-无人机协同空战是未来无人机作战应用的主要作战样式之一。基于ACO算法,设计了有人机和无人机的机动决策算法,并根据ACO算法寻优能力不足和规划耗时较长的缺陷,提出了ACO-A star混合路径规划算法。改进算法将A star算法规划路径作为参考路径,可有效提升ACO算法规划效率,并有一定概率提升路径品质。设计了在有人机有限决策下的无人机协同决策空战机动方法,同时设计了有人机与无人机协同作战的战术策略。通过仿真对抗,验证了决策算法的有效性,也验证了协同战术策略对作战效能的提升作用。
MAV-UAV cooperative air combat is one of the main combat styles of UAV combat application in the future. Based on ACO algorithm, the maneuver decision algorithm of MAV and UAV is designed. According to the defects of optimization ability and long planning time of ACO algorithm, ACO-A star hybrid path planning algorithm is proposed. The improved algorithm takes the planned path of A star algorithm as the reference path, which can effectively improve the planning efficiency of ACO algorithm and improve the path quality with a certain probability. The UAV cooperative decision-making air combat maneuver method under the limited decision-making of MAV is designed, and the tactical strategy of cooperative operation between MAV and UAV is designed. Through simulation, the effectiveness of decision-making algorithm is verified, and the promotion effect of cooperative tactical strategy on combat is also verified.