• DocumentCode
    1612853
  • Title

    Performance of an eleven-phase induction machine under fault conditions

  • Author

    Ashoush, A.M. ; Gadoue, S.M. ; Abdel-khalik, A.S. ; Mostafa, M.Z.

  • Author_Institution
    Dept. of Electr. Eng., Alexandria Univ., Alexandria, Egypt
  • fYear
    2013
  • Firstpage
    479
  • Lastpage
    484
  • Abstract
    In this paper, an experimental eleven-phase induction machine is simulated when operating at fault conditions using Finite Element (FE) analysis. Two fault cases representing one phase and two phases open are considered. Two optimization techniques are employed to calculate the optimum phase currents under phase(s) loss to maintain the same Magneto-Motive Force (MMF) distribution as with the healthy case. As the Conventional optimization method requires solving complex nonlinear equations, Genetic Algorithm (GA) is proposed to solve this problem. Comparison between the conventional optimization technique and GA is carried out using finite element analysis which simulates the machine flux corresponding to each optimum solution and the output machine torque.
  • Keywords
    asynchronous machines; finite element analysis; genetic algorithms; nonlinear equations; torque; FE analysis; GA; MMF distribution; complex nonlinear equations; eleven-phase induction machine performance; fault conditions; finite element analysis; genetic algorithm; machine flux simulation; magnetomotive force distribution; optimization method; optimum phase current calculation; output machine torque; phase loss; Equations; Genetic algorithms; Induction machines; Mathematical model; Optimization; Stators; Torque; Multi-phase machine; fault conditions; finite element analysis; genetic algorithm; phase loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    2155-5516
  • Type

    conf

  • DOI
    10.1109/PowerEng.2013.6635655
  • Filename
    6635655