• DocumentCode
    2649720
  • Title

    Electrical parameters identification of hermetic Refrigeration compressors with Single-Phase Induction Machines using RLS algorithm

  • Author

    Vieira, Rodrigo Padilha ; Azzolin, Rodrigo Zelir ; Gastaldini, Cristiane Cauduro ; Gründling, Hilton Abílio

  • Author_Institution
    Power Electron. Res. Group, Fed. Univ. of Santa Maria-UFSM, Santa Maria, Brazil
  • fYear
    2010
  • fDate
    6-8 Sept. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a methodology for parameter identification of a Single-Phase Induction Machine (SPIM) of an air conditioning compressor. From the machine model two classical Recursive Least Square (RLS) algorithms are applied at qd axes based on current measurements with standstill rotor. The identification is achieved with standstill rotor due the fact that this methodology allow to be implemented in hermetic refrigeration compressor driven by SPIM. Then, the identified parameters can improve the performance of the Field Oriented Control (FOC) and sensorless techniques used in these systems. Furthermore, the correct parameters of Single-Phase Induction Machine allow a better representation of dynamic simulation behavior of compressor driven by SPIM. Experimental results are presented to provide the effectiveness of the method.
  • Keywords
    air conditioning; asynchronous machines; compressors; least squares approximations; machine vector control; parameter estimation; refrigeration; rotors; air conditioning compressor; electrical parameters identification; field oriented control; hermetic refrigeration compressors; qd axes; recursive least square algorithm; single-phase induction machines; standstill rotor; Compressors; Current measurement; Induction machines; Mathematical model; Parameter estimation; Rotors; Stators; Induction Machine; Parameter Estimation; Recursive Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2010 XIX International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-4174-7
  • Electronic_ISBN
    978-1-4244-4175-4
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2010.5607994
  • Filename
    5607994