• DocumentCode
    1778965
  • Title

    Adaptive observers for self commissioning of induction motor drives: Theory and experiment

  • Author

    Peresada, Sergei ; Kovbasa, Sergey ; Prystupa, Dmitriy

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tech. Univ. of Ukraine “KPI”, Kiev, Ukraine
  • fYear
    2014
  • fDate
    2-6 June 2014
  • Firstpage
    240
  • Lastpage
    245
  • 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 currents and motor parameters: rotor resistance, stator (rotor) inductances, and, magnetizing inductance. Two observers are designed under condition that stator resistance is obtained during preliminary test applying Ohm law. Experiments demonstrate that the adaptive observer provides accuracy of identified parameters and fast asymptotic convergence of estimation errors to zero. The proposed solution is of a particular importance in high-performance electromechanical systems with speed measurements as well as sensorless vector controls.
  • Keywords
    adaptive control; induction motor drives; machine vector control; observers; rotors; sensorless machine control; stators; full-order adaptive observer; induction motor drives; magnetizing inductance; rotor resistance; sensorless vector controls; stator fluxes; stator inductances; Estimation error; Induction motors; Observers; Parameter estimation; Rotors; Stators; estimation; identification; induction motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Energy and Power Systems (IEPS), 2014 IEEE International Conference on
  • Conference_Location
    Kyiv
  • Print_ISBN
    978-1-4799-2265-9
  • Type

    conf

  • DOI
    10.1109/IEPS.2014.6874187
  • Filename
    6874187