• DocumentCode
    1441864
  • Title

    Induction motor drive parameters identification

  • Author

    Attaianese, Ciro ; Damiano, Alfonso ; Gatto, Gianluca ; Marongiu, Ignazio ; Perfetto, Aldo

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
  • Volume
    13
  • Issue
    6
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    1112
  • Lastpage
    1122
  • Abstract
    Two online identifiers of the rotor parameters of the field-oriented (FO) induction motor drive are presented in this paper, The synthesis procedure of the identifiers is based on the model reference adaptive control (MRAC) system theory. An appropriate choice of the reference model allows building a Lyapunov function by means of which the updating law of the rotor time constant can be found. A higher order identifier is also synthesized using hyperstability approach. It allows the simultaneous identification of two rotor parameters. The parameters´ convergence is assured thanks to the persistent exciting propriety of the input vector of the identifier, represented by the stator current. Experimental results conducted on an FO-controlled drive, using a digital signal processor (DSP)-based system (TMS320C31), having 40-MHz clock frequency, show the convergent trajectories of the parameters and of the state errors under various significant steady state and transient operating conditions and for different values of the adaption gains. The results show the satisfactory behavior of the proposed identification algorithms
  • Keywords
    Lyapunov methods; control system analysis; control system synthesis; induction motor drives; machine theory; machine vector control; model reference adaptive control systems; parameter estimation; rotors; stators; 40 MHz; Lyapunov function; MRAC; adaption gains; control design; control simulation; convergent trajectories; field-oriented control; hyperstability approach; induction motor drive; model reference adaptive control; online parameters identification; operating conditions; rotor time constant; stator current; updating law; Adaptive control; Control system synthesis; Convergence; Digital signal processors; Induction motor drives; Lyapunov method; Parameter estimation; Rotors; Signal synthesis; Stators;
  • fLanguage
    English
  • Journal_Title
    Power Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8993
  • Type

    jour

  • DOI
    10.1109/63.728338
  • Filename
    728338