DocumentCode :
695274
Title :
Research on LPV-based model of a turbofan engine
Author :
Cancan Wang ; Jinquan Huang ; Feng Lu ; Wenxiang Zhou
Author_Institution :
Jiangsu Province Key Lab. of Aerosp. Power Syst., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2015
fDate :
13-17 Jan. 2015
Firstpage :
141
Lastpage :
145
Abstract :
Two system identification approaches are discussed to approximate the nonlinear dynamics of a turbofan engine by constructing linear parameter varying (LPV) models in this paper. The state variables in several steady points from the idle to maximum condition are determined based on the thermodynamic characteristics of engine chambers. The small perturbation method is given out and utilized to obtain the coefficient matrices of state variable model. In order to acquire the better representation of the engine rotating components dynamics, rotor acceleration speeds are added to state variables. The matrix coefficients with acceleration speeds is obtained by the Genetic Algorithm (GA) initially, and then calculated with linear least square fitting method. The LPV-based model is built up based on the state variable model in various conditions, and the fuel flow is recognized as the index. The simulation experiments on a turbofan engine are carried out, and the comparisons of different state variable model results are also represented. It shows that both methods are effective to represent dynamic performance of the engine.
Keywords :
genetic algorithms; jet engines; least squares approximations; LPV-based model; engine chambers; engine rotating components dynamics; fuel flow; genetic algorithm; linear least square fitting method; linear parameter varying models; state variable model; system identification; thermodynamic characteristics; turbofan engine; Analytical models; Atmospheric modeling; Engines; Gold; Power systems; Technological innovation; Genetic Algorithm (GA); linear parameter varying (LPV); small perturbation method; system identification; turbofan engine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Sciences and Technology (IBCAST), 2015 12th International Bhurban Conference on
Conference_Location :
Islamabad
Type :
conf
DOI :
10.1109/IBCAST.2015.7058494
Filename :
7058494
Link To Document :
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