System identification strategies applied to aircraft gas turbine engines

This paper introduces a study of the derivation of models of aircraft gas turbine dynamics by several system identification approaches. The work was carried out by a consortium of university researchers in close collaboration with Rolls-Royce pic UK. The motivation behind the study is to improve the...

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Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 32; no. 2; pp. 4371 - 4378
Main Authors Arkov, V., Evans, D.C., Fleming, P.J., Hill, D.C., Norton, J.P., Pratt, I., Rees, D., Rodriguez-Vazquez, K.
Format Journal Article
LanguageEnglish
Published 01.07.1999
Subjects
Gas turbines
Genetic algorithms
Identification
Least-squares estimation
Sine-waves
Least-squares estimation
Identification
Gas turbines
Sine-waves
Genetic algorithms
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Summary:This paper introduces a study of the derivation of models of aircraft gas turbine dynamics by several system identification approaches. The work was carried out by a consortium of university researchers in close collaboration with Rolls-Royce pic UK. The motivation behind the study is to improve the efficiency and cost-effectiveness of system identification techniques currently used in the industry. Four system identification techniques are outlined in this paper. They are: based upon ambient noise, using multi-sine test signals, extended least squares, and genetic programming to select model structure.
ISSN:1474-6670
DOI:10.1016/S1474-6670(17)56745-2