• DocumentCode
    1342088
  • Title

    Real-time estimation of the electric parameters of an induction machine using sinusoidal PWM voltage waveforms

  • Author

    De Souza Ribeiro, Luiz Antonio ; Jacobina, Cursino Brandão ; Lima, Antonio Marcus Nogueira ; Oliveira, Alexandre Cunha

  • Author_Institution
    Dept. de Engenharia Eletrica, Centro Fed. de Educacao Tecnologica do Maranhao, Sao Luis, Brazil
  • Volume
    36
  • Issue
    3
  • fYear
    2000
  • Firstpage
    743
  • Lastpage
    754
  • Abstract
    This paper studies the parameter estimation of induction machines. The problems associated with the parameter estimation of induction machines are analyzed through sensitivity functions. Then, models and a procedure to estimate a set of four basic parameters (rs, σls, ls, and τr) are proposed. The discrete-time parameter estimation models are written in the δ operator specifically because it provides good numerical properties at high sampling rates, where the discrete-time model approaches its continuous-time equivalent. This feature permits the direct estimation of the continuous-time parameters. The main feature of the proposed procedure is the possibility to estimate the parameters by using sinusoidal signals, and without the measurement of the machine speed. The experimental results obtained with the proposed estimation procedure are presented and demonstrate that it is possible to map the parameters in terms of the operating conditions of the induction machine
  • Keywords
    asynchronous machines; control system analysis; machine control; machine theory; parameter estimation; sensitivity analysis; δ operator; continuous-time equivalent; continuous-time parameters; control simulation; discrete-time parameter estimation models; induction machine; real-time electrical parameters estimation; sampling rate; sensitivity functions; sinusoidal PWM voltage waveforms; Costs; Induction machines; Industry Applications Society; Jacobian matrices; Parameter estimation; Pulse width modulation; Sampling methods; Sensor phenomena and characterization; Velocity measurement; Voltage;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/28.845049
  • Filename
    845049