DocumentCode :
2157357
Title :
Design of genetic algorithm for on-line reduced-order dynamic modeling of gas turbines
Author :
Kamalova, Zukhra ; Breikin, Tim ; Xuewu Dai ; Hong Wang
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
2642
Lastpage :
2647
Abstract :
This paper addresses the problem of reduced-order dynamic model parameters´ estimation using genetic algorithms (GA). The aim of this work is to select the most suitable type of genetic operators to reduce time of GAs search. Data from real engine are used to investigate the performance of proposed GAs.
Keywords :
gas turbines; genetic algorithms; mechanical engineering computing; parameter estimation; gas turbines; genetic algorithm; online reduced-order dynamic modeling; parameters estimation; Biological cells; Encoding; Engines; Genetic algorithms; Linear programming; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2007 European
Conference_Location :
Kos
Print_ISBN :
978-3-9524173-8-6
Type :
conf
Filename :
7068418
Link To Document :
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