DocumentCode
329600
Title
Multiobjective genetic programming for gas turbine engine model identification
Author
Rodríguez-Vázquez, Katya ; Fleming, P.J.
Author_Institution
Sheffield Univ., UK
fYear
1998
fDate
1-4 Sep 1998
Firstpage
1385
Abstract
A genetic programming-NARMAX approach has been successful applied to the identification of nonlinear systems. This evolutionary identification method has been extended to a multiobjective form with the aim of simultaneously optimising different measures of the system model under investigation. So far, this novel approach has only been tested on simulated data. Here, we demonstrate a practical application of this technique to obtain a model of the relationship between the fuel feed and the shaft speed dynamics of a gas turbine engine
Keywords
identification; NARMAX model; dynamics; gas turbine engine; genetic programming; identification; multiobjective optimisation; nonlinear systems; shaft speed;
fLanguage
English
Publisher
iet
Conference_Titel
Control '98. UKACC International Conference on (Conf. Publ. No. 455)
Conference_Location
Swansea
ISSN
0537-9989
Print_ISBN
0-85296-708-X
Type
conf
DOI
10.1049/cp:19980432
Filename
726122
Link To Document