基于改进混合卡尔曼滤波器的航空发动机机载自适应模型

提出了基于改进混合卡尔曼滤波器的航空发动机机载自适应模型方法,即以机载非线性模型的输出作为分段线性卡尔曼滤波器的稳态基准值,将性能蜕化因子作为该滤波器的增广状态量进行在线估计,并反馈给机载非线性模型使其完成在线更新.同时,根据工作模式切换机制使该模型获得有效输出.通过将该方法应用于某型涡扇发动机进行一系列仿真表明,在全飞行包线内、不同工作状态以及性能蜕化严重的情况下,该模型能够始终与实际发动机相匹配,满足实际应用需求. 

Aeroengine on-board adaptive model based on improved hybrid Kalman filter

A method of establishing aeroengine on-board adaptive model was proposed based on improved hybrid Kalman filter (IHKF). The output of nonlinear on-board engine model (NOBEM) was regarded as the steady-state basic model of piecewise linear Kalman filter(PWKF), while its performance deterioration factor was regarded as the augmented state vector of PWKF for on-line estimation, and fed back to NOBEM for on-line updating. In addition, the switching logic of work mode was established, which could make the IHKF work better. By applying this method to a turbofan engine, a series of simulation results show that the model can always match the actual engine in the whole flight envelope, under different engine states and severe performance deterioration, thus meeting the needs of practical applications.