基于SMI辨识的航空发动机模型建立

Establishment of Aero-engine's Model Based on SMI Identification Method

文中采用子空间模型辨识结合预报误差的方法在某一稳态点对某型航空涡轮发动机的动态模型进行了辨识,建立了该型航空涡轮发动机在该稳态点的‘小偏离’动态状态空间模型,以满足在航空发动机性能分析以及故障诊断等领域对动态模型的需要。仿真结果表明,所采用的辨识方法很好地融合了子空间方法的简单性和预报误差法的最优性,用于航空发动机模型辨识是可行的。采用该辨识方法所得的发动机模型具有较高的精度,可以用于航空发动机性能分析,发动机控制以及故障诊断等领域。

The subspace identification method combined with the predict error method has been used to identify the aero - engine＇ s dynamic model in a steady state in this paper. The engine＇ s space state model was established to satisfy the need of engine performance analysis and the failure monitor of advanced engine. Result shows that the subspace model identification method （SMI） combined with the predict error method （PEM）works well to establish an aero - engine＇ s state space model. The engine＇ s model identified by this method can be used for the analysis of aero - engine＇ s performance, the control of the engine and so on with a better precision.