• DocumentCode
    537507
  • Title

    Application of Advanced Genetic Algorithm in the Global Optimal Design of Permanent Magnet Generator in Automobile

  • Author

    Wang, Jin

  • Author_Institution
    Ind. Center, Shenzhen Polytech., Shenzhen, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The simple genetic algorithm is introduced at first. On the basis of many strategies to selector operator, crossover operator and mutation operator, the advanced genetic algorithm sufficiently considers the global optimum by generating new individuals in each generation, which guarantees the population´s multiplicity and accelerates the evolved speed. The optimal design of permanent magnet generator in automobile based on advanced genetic algorithm is explored in this paper. We adopted the permanent magnet as the main excitor, and electric excitation as the auxiliary excitor, a mathematical model of the generator is set up. The result shows that the advanced genetic algorithm could be applied well in the automobile permanent magnet generator. It satisfies the reliable constant voltage of the generator.
  • Keywords
    automobiles; genetic algorithms; permanent magnet generators; automobile; auxiliary excitor; constant voltage; crossover operator; electric excitation; genetic algorithm; global optimal design; mutation operator; permanent magnet generator; population multiplicity; selector operator; Gallium; Generators; Optimization; Permanent magnets; Stator cores; Stator windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5661573
  • Filename
    5661573