空军工程大学学报2025，Vol.26Issue(1)：76-85,10.DOI:10.3969/j.issn.2097-1915.2025.01.010
基于融合对策—进化算法的无人机空战决策研究
Research on UAV Air Combat Decision Making Based on Fusion Game-Evolution Algorithm
摘要
Abstract
Based on the research background of one-to-one near visual range air combat of unmanned aerial vehicles(UAVS),a new air combat decision-making method combining weighted matrix strategy and evo-lutionary algorithm with coarse and fine granularity optimization is proposed.Firstly,the UAV maneuver model and air combat situation assessment advantage function are established based on the actual combat situation.Secondly,considering that the discrete variable optimization based on maneuvering library and the continuous optimization based on maneuvering ability both have the problems of insufficient accuracy and high calculation cost,a maneuvering decision framework combining coarse and fine granularity optimi-zation is proposed.At the level of coarse-grain optimization,the matrix game method is introduced,and the Kalman filter algorithm is used to adjust the weight of the traditional matrix game method to solve the problem of conservative choice of maneuvering weight reference.At the fine-grained optimization level,based on the differential evolution principle,further search for better maneuvers.The effectiveness of the proposed decision frame is verified by four sets of comparison experiments.The weighted matrix game al-gorithm based on trajectory prediction can take effective countermeasures against the enemy's actions.关键词
无人机空战/矩阵对策法/卡尔曼滤波/差分进化Key words
UAV air combat/matrix game method/Kalman filter/differential evolution分类
航空航天引用本文复制引用
姚颖,吴宇,邓嘉宁..基于融合对策—进化算法的无人机空战决策研究[J].空军工程大学学报,2025,26(1):76-85,10.基金项目
国家自然科学基金(52102453) （52102453）
