摘要
针对多无人机协同攻击多目标的空战问题,给出了一种分析方法。首先分析了无人机空战态势优势,建立了无人机空战态势优势函数和任务分配模型。然后提出了基于分布式邀请拍卖算法(Distributed Invite Auction Algorithm,DIAA)的多机协同空战决策方法。无人机将依据目标的空战几何态势进行分配目标,对于分配冲突的目标,将根据态势优势大小进行竞标目标,对于无法保证完成的攻击任务,则邀请友机协同攻击。最后进行了仿真验证,仿真结果表明,该算法能够有效地且合理地解决多机协同攻击多目标的分布式空战决策问题。
A new analytical method for multiple UCAV cooperatively attacking multiple targets was given. First, air combat situation superiority was analyzed, and the air combat situation superiority function and task allocation model were established. Then a method for multiple UCAV cooperatively air combat decision making based on DIAA was proposed. The target was allocated based on their geometry situation in air combat. The UCAVs bid target with conflicting allocation according to their situation superiority, and invite other UCAV cooperative attacking for the target unable completed. Simulation was used to inspect the algorithm, and the results show that the algorithm could solve the problem of decentralized cooperatively air combat decision making for multiple UCAV cooperatively attacking multiple targets effectively and reasonably.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2014年第6期1257-1261,1266,共6页
Journal of System Simulation
基金
国家自然科学基金(61074159)
辽宁省自然科学基金资助项目(20092053)
关键词
协同空战
态势优势
任务分配
DIAA
cooperative air combat
situation superiority
task allocation
DIAA
