多无人作战飞机编队空战智能决策方法

Intelligent Tactical Decision Making for Multiple Unmanned Combat Aerial Vehicles Formation

针对多无人机编队空战战术决策问题,提出了基于案例推理(CBR)和规则推理(RBR)的战术决策方法。在剖析战术决策案例特征的基础上,设计了一种基于框架结构的案例表示方法,并引入结构相似度和云模型理论以改进传统的最近邻检索算法。最后,借用基于案例推理和规则推理设计的战术决策GUI界面,能够快速地从库中检索出与当前空战态势最匹配的战术决策源案例,仿真结果证明该方法具有较好的有效性。

Aiming at multiple unmanned combat air vehicles autonomous air combat tactical decision making problem,the approach of case-based reasoning（CBR） and rule-based reasoning（RBR） is presented. A method for describing autonomous air combat tactical decision making cases based on frame structure is proposed. The research shows that the improved nearest neighbor approach could improve the effectiveness and accuracy of case-based reasoning by introducing the calculation method of structural similarity and the theory of cloud model. Finally,the result of simulation shows that it can select out the appropriate solution from the case library.