• DocumentCode
    3630955
  • Title

    Optimization of big power low voltage induction motor using Hybrid Optimization Algorithms

  • Author

    Sebastian Lachecinski;Maria Dems

  • Author_Institution
    Technical University of Lodz, Institute of Mechatronics and Information Systems, 18/22 Stefanowskiego Street, 90-924, Poland
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents results of optimization calculation of the big power low voltage induction motor. The results received by new three hybrid algorithms: GA-R, ESμ+λ-R, PSO-R were compared. These hybrid algorithms were created by connecting three algorithms of global optimization, i.e. genetic algorithm GA, evolutionary strategy ES and particle swarm optimization PSO with a suitable modified Rosenbrock´s method.
  • Keywords
    "Low voltage","Induction motors","Optimization methods","Stator windings","Mathematical model","Genetic algorithms","Particle swarm optimization","Mechatronics","Information systems","Joining processes"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines, 2008. ICEM 2008. 18th International Conference on
  • Print_ISBN
    978-1-4244-1735-3
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2008.4799968
  • Filename
    4799968
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3630955