Application of system identification techniques to aircraft gas turbine engines

被引：37
作者：
Evans, C [1 ]
Fleming, PJ
Hill, DC
Norton, JP
Pratt, I
Rees, D
Rodríquez-Vàzquez, K
机构：
[1] Univ Glamorgan, Sch Elect, Pontypridd CF37 1DL, M Glam, Wales
[2] Univ Sheffield, Sheffield S10 2TN, S Yorkshire, England
[3] Rolls Royce PLC, Derby DE2 8BJ, England
[4] Univ Birmingham, Birmingham B15 2TT, W Midlands, England
来源：
CONTROL ENGINEERING PRACTICE | 2001年 / 9卷 / 02期
关键词：
gas turbines; system identification; frequency domain; multisine signals; least-squares estimation; time-varying systems; genetic algorithms; structure selection;
D O I：
10.1016/S0967-0661(00)00091-5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A variety of system identification techniques are applied to the modelling of aircraft gas turbine dynamics. The motivation behind the study is to improve the efficiency and cost-effectiveness of system identification techniques currently used in the industry. Three system identification approaches are outlined in this paper. They are based upon: multisine testing and frequency-domain identification, time-varying models estimated using extended least squares with optimal smoothing, and multiobjective genetic programming to select model structure. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：135 / 148
页数：14
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