• DocumentCode
    1328415
  • Title

    An Algorithm for Nonintrusive In Situ Efficiency Estimation of Induction Machines Operating With Unbalanced Supply Conditions

  • Author

    Siraki, A.G. ; Gajjar, C. ; Khan, Muhammad Asad ; Barendse, Paul ; Pillay, Pragasen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • Volume
    48
  • Issue
    6
  • fYear
    2012
  • Firstpage
    1890
  • Lastpage
    1900
  • Abstract
    The development of an in situ efficiency estimation technique is a challenging task where the lowest level of intrusion and the highest possible accuracy are required. In this paper, a new algorithm is discussed for the in situ efficiency estimation of induction machines under unbalanced power supplies. Prior work in the literature has concentrated on balanced supplies. In addition, to have a nonintrusive speed measurement, a specific adaptive nonlinear algorithm is applied for the extraction of the speed-dependent current harmonics from the measured current signal. A similar algorithm is used to extract the symmetrical components from the current and voltage signals to handle the unbalanced supply conditions. Experimental results with two different machines are used to prove the effectiveness and generality of the proposed method. Measurement error analysis, as well as repeatability tests, has been done to determine the credibility of the proposed method.
  • Keywords
    angular velocity measurement; asynchronous machines; demand side management; harmonics suppression; measurement errors; uninterruptible power supplies; adaptive nonlinear algorithm; induction machine; measurement error analysis; nonintrusive in situ efficiency estimation; nonintrusive speed measurement; speed dependent current harmonics; unbalanced power supply condition; Algorithm design and analysis; Current measurement; Estimation; Harmonic analysis; Induction motors; Rotors; Error analysis; evolutionary algorithm; in situ efficiency estimation; induction motor; nonlinear adaptive filter; repeatability test; unbalanced supply;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2012.2225813
  • Filename
    6341073