Time and frequency domain identification and analysis of a gas turbine engine

被引：21
|
作者：
Boaghe, OM [1 ]
Billings, SA [1 ]
Li, LM [1 ]
Fleming, PJ [1 ]
Liu, J [1 ]
机构：
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
来源：
CONTROL ENGINEERING PRACTICE | 2002年 / 10卷 / 12期
基金：
英国工程与自然科学研究理事会;
关键词：
identification; nonlinear systems; parameter estimation; gas turbine engine modelling;
D O I：
10.1016/S0967-0661(02)00100-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The nonlinear autoregressive moving average model with eXogenous inputs (NARMAX) approach is used to analyse the dynamics of a gas turbine engine. The fuel flow-shaft speed relationship is analysed by identifying both time and frequency domain models of the system. The frequency domain analysis is studied by mapping the discrete-time NARMAX models into the generalised frequency response functions (GFRFs) to reveal the nonlinear coupling between the various input spectral components and the energy transfer mechanisms in the system. A continuous-time nonlinear differential equation model is also estimated using the GFRFs. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：1347 / 1356
页数：10
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