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

页码：135 / 148

页数：14

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