• DocumentCode
    2617889
  • Title

    Simulation of an axial-flux induction machine with squirrel cage based on the winding function theory

  • Author

    Igelspacher, J. ; Hecker, Q. ; Herzog, H. -G

  • Author_Institution
    Inst. of Energy Conversion Technol., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper a method for simulating an axial-flux induction machine with squirrel cage is presented. The Simulation is based on the multiple coupled circuit theory wherein the needed inductances are calculated with the winding function theory. This simulation model is the basis for fault simulations like short circuits. First, the principle arrangement and the machine data are shown. After a short introduction to the winding function and multiple circuit theory the calculation of the self- and mutual- inductances based on its Fourier series is explained. Moreover the difference between using a rectangular and a trapezoidal characteristic of the winding function is described. Especially for this type of machine the needed assumptions and simplifications are presented as well. In a next step the simulation model implemented in Matlab/Simulink is presented. The paper ends with some simulation results compared to the machine data and a short conclusion.
  • Keywords
    Fourier series; asynchronous machines; fault simulation; machine windings; squirrel cage motors; Fourier series; Matlab/Simulink; axial-flux induction machine; circuit theory; fault simulations; mutual-inductances; self-inductances; short circuits; squirrel cage; winding function theory; Couplings; Feedback amplifier; MATLAB; Stators; Tin; Windings; axial-flux; induction motors; multiple circuit theory; simulation model; winding function theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Systems for Aircraft, Railway and Ship Propulsion (ESARS), 2012
  • Conference_Location
    Bologna
  • ISSN
    2165-9400
  • Print_ISBN
    978-1-4673-1370-4
  • Electronic_ISBN
    2165-9400
  • Type

    conf

  • DOI
    10.1109/ESARS.2012.6387428
  • Filename
    6387428