摘要
针对无人机自主空战决策的实时性与准确性需求,提出一种矩阵对策法与遗传算法相结合的空战决策算法。基于空战优势函数以及无人机机动模型建立了无人机空战决策模型,使用改进的矩阵对策法获取我方无人机最优选择策略的大致范围,再在此范围内使用遗传算法寻找最优策略,最后通过直线飞行机动和S型规避机动仿真验证了算法的可行性。仿真结果表明,所提算法不仅能够提高机动决策的精度,还在一定程度上避免了单纯遗传算法计算量大、计算时间长的问题,满足空战合理性与实时性需求。
Aiming at the real-time and accuracy requirements of UAV autonomous air combat,a decision-making air combat algorithm composed of matrix game method and genetic algorithm is put forward.UAV air combat decision-making model was built on combat advantage funtion and UAV maneuver model the improved matrix game method was adopted to get the approximate range of UAV optimal selection strategy,and then genetic algorithm was used to find the optimal maneuver selection in this range.Finally,the feasibility of the algorithm was tested by straight flight and S type evasion maneuver simulations.Simulations showed that the algorithm could not only improve the precision of maneuvering decision.But also the amount of calculation and time consuming were largely decreased compared with simply adopting genetic algorithm,which could meet the requirements of reasonability and real-time air combat.
作者
邓可
彭宣淇
周德云
DENG Ke;PENG Xuan-qi;ZHOU De-yun(PLA Dalian Naval Academy,Dalian 116018,China;Northwestern Polytechnical University,Xi’an 710072,China)
出处
《火力与指挥控制》
CSCD
北大核心
2019年第12期61-66,71,共7页
Fire Control & Command Control
基金
军队“十二五”装备预先研究基金资助项目(51305080301)
关键词
无人机
自主机动决策
矩阵对策法
遗传算法
UAV
autonomous maneuver decision-making
matrix game method
genetic algorithm
