• DocumentCode
    1175758
  • Title

    Tailoring induction motor analytical models to fit known motor performance characteristics and satisfy particular study needs

  • Author

    Johnson, B.K. ; Willis, J.R.

  • Author_Institution
    Power Technol. Inc., Schenectady, NY, USA
  • Volume
    6
  • Issue
    3
  • fYear
    1991
  • fDate
    8/1/1991 12:00:00 AM
  • Firstpage
    959
  • Lastpage
    965
  • Abstract
    Induction motor equivalent circuit modeling is addressed. Data for induction motors are often not available in the form required by the equivalent circuit. An efficient method is therefore needed to find the resistances and reactances in the equivalent circuit from the data normally available. The method should be flexible enough to be applied both when complete current, torque, and power factor vs. slip curves are available and when only a few points on these curves are known. Using the method described, the induction machine equivalent circuit impedances can be found from the normally available information. The method involves some calculations which can be computerized, but also requires engineering judgment during the solution process. The computer program structure facilitates the necessary computer-engineer interaction. The method is iterative, and an interactive computer program relieves the engineer of much of the computational burden. Also discussed is the appropriate level of induction motor modeling for various types of dynamic studies
  • Keywords
    electric machine analysis computing; equivalent circuits; induction motors; computer program; current; equivalent circuit modeling; impedances; induction motor; performance characteristics; power factor; reactances; resistances; slip curves; torque; Analytical models; Equivalent circuits; Impedance; Induction machines; Induction motors; Iterative methods; Power engineering and energy; Power engineering computing; Reactive power; Torque;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.119235
  • Filename
    119235