基于试飞数据的航空发动机滑油系统模型建立及应用

Establishment and Application of Aero-engine Oil System Model Based on Flight Test Data

基于大量试飞数据,采用人工神经网络方法,建立某发动机滑油系统全工作过程的模型,包括供油压力、滑油压差、供油温度、中轴承腔回油温度、后轴承腔回油温度、滑油总回油温度等参数的模型。模型计算结果与试飞结果吻合良好,表明了该建模方法的可行性和有效性。将模型计算结果应用于发动机滑油系统的试飞状态监控,实现滑油参数实时趋势监控;将建模方法应用于润滑油参数的最大影响因素的确定,建立一种滑油系统的最大影响参数的确定方法。

Oil system models of aero-engine whole process were established by applying ANN and based on a large number of flight test data, including the models of oil supply pressure, oil differential pressure, oil supply temperature, oil return temperature in middle bearing cavity ,oil return temperature in rear bearing cavity and total oil return temperature.Calculation results of the models are in good agreement with flight test results, which shows the feasibility and effectiveness of the presented modeling method.The calculation results of models were applied to the test condition monitoring of the aero-en- gine oil system, and the real-time tendency monitoring of oil parameters was realized.In addition, a method to determine the main influence parameters of aero-engine oil parameters was developed by using the presented modeling method.