航空发动机机载实时自适应模型研究

On-board Real-time Adaptive Model of Aero-engine

航空发动机的性能蜕化会导致其可测参数的变化,因此传感器测量参数偏离正常工作情况下的变化量,可以表征发动机的性能蜕化程度。文中首先建立了包含发动机性能蜕化因素的状态变量模型,并将性能蜕化参数作为增广的状态变量,设计了卡尔曼滤波器,从而可以根据可测的输出偏离量经滤波器状态估计得到发动机性能蜕化值,最后将性能蜕化值用于状态变量模型中不可测参数的修正,从而使机载模型适应发动机的非额定工作状况。

Component deteriorations of an aero-engine result in the instrument measurement deviations from nominal values. These measurable deviations can be used as a tool to predict the deterioration level of an engine. A state variable model, which takes the deterioration factors into account, is developed at first, and then these deterioration factors are treated as augmented states of the linear model. A Kalman filter is then designed to predict the component deteriorations. The unmeasurable output parameters are trimmed by the predicted deteriorations. Digital simulation results of the adaptive model are presented and compared with those of the nonlinear engine model. The real-time adaptive model is shown to be able to match the actual engine well.