• DocumentCode
    3545218
  • Title

    Comparison of modeling techniques for magnetization characteristics of induction machine

  • Author

    Yella, N. ; Sandhu, Kanwarjit Singh ; Kumar, Ajit

  • Author_Institution
    Dept. of Electr. Eng., NIT Kurukshetra, Kurukshetra, India
  • fYear
    2012
  • fDate
    19-22 Dec. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Magnetization characteristics of electrical machines play a key role for its design and operational performance. Such curves are useful to determine the saturation in the magnetic circuit of the machines in any operating mode i.e motoring or generating. Therefore accurate modeling of such characteristics is essential to determine the performance of electrical machines in steady state and transient conditions. In this paper, the magnetization characteristics of induction machine have been obtained with simulation using linear, polynomial, and exponential techniques. Magnetization characteristics of the induction machine have also been obtained experimentally and the results obtained have been compared with three techniques. The curvefit tool in MATLAB has been employed to find the higher order model with results quite close to the experimental results obtained on the test machines.
  • Keywords
    asynchronous machines; magnetisation; mathematics computing; polynomials; Matlab; curvefit tool; electrical machines; exponential technique; higher order model; induction machine; linear technique; magnetic circuit; magnetization characteristics; polynomial technique; saturation; transient conditions; Induction motors; Magnetic circuits; Magnetization; Polynomials; Saturation magnetization; Transient analysis; Induction machin; MATLAB; curve fitting tool; magnetization characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power India Conference, 2012 IEEE Fifth
  • Conference_Location
    Murthal
  • Print_ISBN
    978-1-4673-0763-5
  • Type

    conf

  • DOI
    10.1109/PowerI.2012.6479472
  • Filename
    6479472