A Dynamic Identification Model of Aeroengine Starting Process Based on the RBF Network

In the process of engine start,the airflow of every section is in subcritical condition.It's hard to construct a model with traditional thermodynamics methods.A dynamic identification model is set up in this paper based on Radial Basis Function network using ground test data as learning samples.The simulation results show the model has good dynamic performance and high accuracy,and opens a new way to building the model of engine at low speed.