In view of the high dynamic, uncertain and time-varying characteristics of unmanned combat aerial vehicle (UCAV) air combat situation, a maneuver decision method based on fuzzy reasoning is proposed. Firstly, four advantage factors of angle, distance, speed, and height are established from the air combat scene. Secondly, the fuzzy rules are used to evaluate the air combat situation. The advantage factors representing the air combat situation are input into the fuzzy reasoning machine to adaptively adjust the weight of each factor in the advantage function. As an auxiliary means of maneuver decision-making, the enemy aircraft position prediction model integrating decision-maneuver, sequence-maneuver, and inertial-maneuver is proposed. Finally, simulation results show that the fuzzy reasoning method could guide UCAV to make more targeted maneuver decisions according to the real-time combat situation. The fuzzy reasoning method provides a new solution on improving the UCAV self-decision ability.

针对无人作战飞机（UCAV）空战态势的高动态性、不确定性和时变特性，提出了一种基于模糊推理的机动决策方法。首先从空战场景中建立角度、距离、速度、高度四个优势因素。其次，利用模糊规则对空战态势进行评价。将代表空战态势的优势因素输入模糊推理机，自适应调整各因素在优势函数中的权重。作为机动决策的辅助手段，提出了综合决策机动、序列机动和惯性机动的敌机位置预测模型。最后，仿真结果表明，模糊推理方法可以指导UCAV根据实时作战情况做出更有针对性的机动决策。模糊推理方法为提高UCAV自主决策能力提供了新的解决方案。