目前近距智能空战的研究侧重理论与算法，在能量机动方面考虑有所欠缺。为了将能量机动融入近距空战模型，对空战理论进行了分析，提出了一种基于能量机动的1对1近距空战专家模型构建方法：基于能量机动，对空战态势进行静态态势与动态态势判断，得到期望的滚转角与法向过载，并采用比例-积分-微分（PID）控制算法对模型横航向与纵向进行控制。即模型通过态势判断直接得到期望飞行状态，无需选择执行某一机动，决策时间步长可以尽可能缩短，有利于缩短观察、判断、决策、行动（OODA）循环时间。仿真结果表明，所建立的模型在60场仿真模拟中获得了58场胜利，可以按设计发挥出战机的机动性能。提出的模型构建方法具有通用性，在近距空战教学与训练、无人机（UAV）空战等方面应用前景广阔。

At present， research on intelligent air combat at close range focuses on theories and algorithms， but lacks consideration in energy maneuverability. To integrate energy maneuverability into close-range air combat， an analysis of air combat theories is conducted， and a one-to-one expert system construction method for close-range air combat based on energy maneuverability is proposed. Based on energy maneuvering， decisions on static and dynamic situations of air combat are made to obtain the expected roll angle and normal G-force， and Proportion-Integration-Differentiation （PID） control algorithm is constructed to control the lateral and longitudinal directions of the model. That is， the model directly obtains the expected flight state through situational judgment， without the need to choose to execute a certain maneuver. The decision time step can be shortened as much as possible， which is beneficial for shortening the Observation-Orientation-Decision-Action （OODA） cycle time. Simulation results show that the established model achieves 58 victories in 60 simulations， which can fully demonstrate the maneuverability of the fighter as designed. The model construction method proposed has universality and prospects for application in close-range air combat teaching and training， Unmanned Aerial Vehicle （UAV） air combat， and other fields.