Aero-engine main fuel control loop modeling and identification

Author

Fuqian Nian ; Hongjun Ma ; GuangHong Yang

Author_Institution

Colledge of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2013

fDate

25-27 May 2013

Firstpage

5032

Lastpage

5037

Abstract

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.

Keywords

aerospace engines; backpropagation; compensation; fuel systems; least squares approximations; linear systems; neurocontrollers; nonlinear control systems; Sigmoid BP neural network; aero-engine main fuel control loop; backpropagation; engine control system; least squares method; linear model; nonlinear compensation mechanism; nonlinear system; turbofan aero-engine; Analytical models; Control systems; Fuels; Gears; Mathematical model; Pistons; Valves; Aero-engine; Least Squares Method; Main Fuel Control; Neural Network; Nonlinear Compensation Mechanism;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561845

Filename

6561845