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准确预计飞行过程中飞机平台诱发的温度,可以为提出机载设备环境适应性要求,开展环境适应性设计和试验验证提供更精确的输入。为此,对飞机舱室的热形成机制进行了研究;考虑多种因素对飞机各舱室热环境的综合影响,提出了一种基于实测数据的飞机平台动态温度预计算法;依据所建立模型,以平飞状态为切入点,用线性回归的方法估计并拟合了模型系数随高度、马赫数变化的函数;最后,对模型进行了修正及验证。模型验证结果表明,建立的动态温度预计模型可较准确地预计飞机设备舱内温度随飞行状态变化的曲线。误差分析结果表明,模型对某型飞机95%置信度下的预计误差不超过4.5℃。
Accurately estimating the temperature induced by the aircraft platform during flight can provide more accurate input for adapting the environmental requirements of airborne equipment, carrying out environmental adaptive design and testing and verification. For this reason, the thermal formation mechanism of aircraft cabin is studied. Considering the comprehensive influence of many factors on the thermal environment of aircraft cabin, a prediction algorithm of aircraft platform dynamic temperature based on measured data is proposed. Based on the established model, Flying state as the starting point, the linear regression method is used to estimate and fit the function of the model coefficient with height and Mach number. Finally, the model is modified and verified. The results of the model verification show that the established dynamic temperature prediction model can accurately predict the curve of the temperature change of the aircraft equipment cabin with the flight status. Error analysis results show that the model predicts the error of 95% confidence level for a certain aircraft does not exceed 4.5 ℃.