• DocumentCode
    2108233
  • Title

    A parameter estimation method for on-line failure detection in permanent magnet AC-brushless motors having current-dependent parameters

  • Author

    Pizzo, Andrea Del ; Spina, Ivan ; Schäfer, Uwe ; Beti, Lorenz Taus

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Naples "Federico II", Naples, Italy
  • fYear
    2011
  • fDate
    5-8 Sept. 2011
  • Firstpage
    258
  • Lastpage
    264
  • Abstract
    With reference to anisotropic permanent magnet (PM) brushless motors, the papers deals with a procedure for on-line identification of electrical parameters, based on the “recursive least square method”, designed for the cases of strong parameters variation depending on the operating condition. The identification procedure is superimposed to a conventional control diagram of PM AC-brushless drives (either torque-control or speed-control) and is really very simple. The results of this analysis can be used as identifiers of failure conditions in the drive; otherwise, during motor characterization on a test-bench, the method can be a simple instrument to map motor parameters in different operating conditions. The proposed technique is tested by means of numerical investigation on a motor whose electrical parameters have been off-line evaluated by experimental measurements and mapped in different operating conditions.
  • Keywords
    AC motor drives; brushless machines; least squares approximations; machine control; parameter estimation; permanent magnet motors; recursive estimation; PM AC-brushless motor drives; anisotropic PM brushless motors; anisotropic permanent magnet brushless motors; control diagram; current-dependent parameters; electrical parameters; motor characterization; numerical investigation; on-line failure detection; parameter estimation method; permanent magnet AC-brushless motors; recursive least square method; test-bench; Brushless motors; Current measurement; Equations; Mathematical model; Parameter estimation; Rotors; Temperature measurement; AC machine; Adaptive Control; Brushless Machine; Electrical Fault Detection; Fault Diagnosis; Machine Vector Control; Parameter Estimation; Permanent Magnet Machine; Recursive Estimation; Variable Speed Drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on
  • Conference_Location
    Bologna
  • Print_ISBN
    978-1-4244-9301-2
  • Electronic_ISBN
    978-1-4244-9302-9
  • Type

    conf

  • DOI
    10.1109/DEMPED.2011.6063633
  • Filename
    6063633