涡扇发动机机载自适应建模技术研究

AN IN-FLIGHT ADAPTIVE MODEL OF TURBOFAN

本文研究用涡扇发动机可测输出参数偏离变化来表征发动机的非额定工作特性，将它们做为增广的状态量，设计卡尔曼滤波器进行最优估计，将这些估计值用于修正对发动机不可测参数和性能量的计算，以形成机载自适应模型。仿真研究表明，采用该方法建立的机载模型对性能蜕化所致的发动机非额定工作具有很好的适应能力。

A real time adaptive model for turbofan engine is developed,which uses Kalman Filter concept to estimate unmeasured output variables and characterizes the effects of off-nominal engine behavior as biases on the measurable output variables.An adaptive engine model is formulated and its block diagram is set up with this method.The estimates of the output variables obtained from the presented model are compared with nonlinear simulation results of the engine for testifying its adaptability to the off-nominal behavior of the engine with deteriorated performance.