Aero-engine main fuel control loop modeling and identification

Aero-engine is a typical nonlinear system, and the main fuel control system is the core of the engine control system. In this paper, based on some turbofan aero-engine, through the simple mechanism analysis of the main fuel control system, we obtain the order of the linear part of the model, by using the least squares method to identify the linear model. Then through the nonlinear compensation mechanism and use Sigmoid BP neural network to identify the nonlinear model, and finally we get a more precise main fuel control system model.