• DocumentCode
    1767573
  • Title

    Identification of induction motor parameters for self-commissioning procedure: A new algorithm and experimental verification

  • Author

    Peresada, Sergei ; Kovbasa, Sergey ; Prystupa, Dmitriy ; Lyshevski, Sergey E.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tech. Univ. of Ukraine “KPI”, Kiev, Ukraine
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    818
  • Lastpage
    823
  • Abstract
    A new identification procedure to identify unknown parameters of induction motors for self-commissioning of vector controlled electrical drives is developed, substantiated and experimentally verified. Our algorithm uses a full-order adaptive observer to estimate stator fluxes and motor parameters: rotor resistance, stator (rotor) inductances, and, magnetizing inductance. Experiments demonstrate that the adaptive observer provides accuracy of identified parameters, asymptotic convergence of estimation errors to zero, and, fast convergence. The proposed solution is of a particular importance in high-performance electromechanical systems with speed measurements as well as sensorless vector controls.
  • Keywords
    inductance; induction motor drives; machine vector control; magnetic flux; observers; rotors; stators; electromechanical systems; full-order adaptive observer; induction motor parameter identification; magnetizing inductance; rotor inductance; rotor resistance; self-commissioning process; sensorless vector control; speed measurements; stator flux estimation; stator inductance; vector controlled electrical drives; Estimation error; Induction motors; Observers; Parameter estimation; Rotors; Stators; estimation; identification; induction motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864717
  • Filename
    6864717