飞机燃油系统全飞行剖面热边界模拟与温度预测

通过仿真实验和机器学习，对影响飞机燃油系统温度的主要因素进行了研究，并对燃油系统温度进行了预测。对飞机燃油系统的基本结构布局进行了描述。利用Simulink仿真平台建立了燃油系统热动态仿真，该模型可以模拟出全飞行剖面下燃油回路各个节点的温度，通过改变不同的条件得到影响燃油系统各个节点温度的主要影响因素，并通过机器学习模型对燃油系统的温度进行预测。研究成果可以估计和感知燃油系统的工作温度及飞机液压、滑油等系统的工作温度，为进一步进行燃油液压系统的热边界感知和机载液压与机电系统热载荷吸收控制打下基础。 

Thermal boundary simulation and temperature prediction for aircraft fuel system with full flight profile

Through simulation experiments and machine learning, this paper studies the main factors that affect the temperature in aircraft fuel systems and predicts the temperature of the fuel system. The basic structure and layout of aircraft fuel system were determined. A simulation model was established using the Simulink simulation platform to simulate the temperature of each node of the fuel circuit with full flight profile, and the main factors affecting the temperature of each node of the fuel system were obtained by changing different conditions. The temperature of the fuel system was predicted through a machine learning model. This research can estimate and perceive the operating temperature of fuel system, aircraft hydraulic system and lubricating oil system, which lays a foundation for further sensing the thermal boundary of fuel hydraulic system and controlling the thermal load absorption of airborne hydraulic and electromechanical systems.