超视距协同空战传感器、武器协同控制决策模型

Research on Sensor and Weapon Coordinated Control Decision-making Model of Beyond-Visual-Range Coordinated Air Combat

首先给出超视距协同空战传感器、武器协同控制的定义,并描述传感器、武器协同控制决策问题。然后介绍协同网络信息相关定义及其矩阵式表述。在此基础上建立基于协同网络信息的传感器、武器协同控制决策的数学模型,最后利用多目标进化算法(MOEA),以一架预警机指挥控制4架战斗机拦截1个来袭目标情况为例对模型进行了验证说明。其结果表明了所建立模型在传感器、武器协同控制决策研究中的可行性和有效性。

Firstly,this paper puts forward the concept of sensor and weapon coordinated control in BVRCAC,and it describes the matter of sensor and weapon coordinated control decision-making. Then, the definition and matrix description of collaboration network information is described. And then this paper establishes the sensor and weapon coordinated control decision-making model based on the collaboration network information. Finally,this paper validates the feasibility and effectiveness of the model in study of BVRCAC weapon coordinated control decision-making with an application example. The example is that 4 fighter controlled by 1 AEW intercepte 1 target in BVRCAC.