• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2157357