• DocumentCode
    2593210
  • Title

    A RMRAC parameter identification algorithm for induction motors

  • Author

    Azzolin, R.Z. ; Gründling, H.A.

  • Author_Institution
    Power Electron. & Control Res. Group - GEPOC, Fed. Univ. of Santa Maria - UFSM, Santa Maria, Brazil
  • fYear
    2009
  • fDate
    Sept. 27 2009-Oct. 1 2009
  • Firstpage
    1171
  • Lastpage
    1176
  • Abstract
    This paper presents a discrete time algorithm able to identify all electrical parameters of three phase induction motors. This technique can be also applied to identification of other machines such as permanent magnet synchronous motor (PMSM), single-phase induction motors (SPIM), and others systems, that will be described opportunely. The identification algorithm is based on robust model reference adaptive controller (RMRAC) applied to electric machine model. The identification uses only measurements of stator currents with standstill rotor. From the correct parameters it is possible to design high performance controllers and sensorless drives for the induction motor. Furthermore, the correct parameters of induction motor allow a better representation of dynamic simulation behavior of machine. Experimental results are presented to provide the effectiveness of the method.
  • Keywords
    induction motors; machine control; model reference adaptive control systems; parameter estimation; permanent magnet motors; robust control; electric machine model; parameter identification algorithm; permanent magnet synchronous motor; robust model reference adaptive controller; single-phase induction motors; standstill rotor; stator currents; Adaptive control; Current measurement; Electric machines; Induction motors; Parameter estimation; Permanent magnet motors; Programmable control; Robust control; Sensorless control; Stators; Induction motor; RMRAC algorithm; parameters identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Conference, 2009. COBEP '09. Brazilian
  • Conference_Location
    Bonito-Mato Grosso do Sul
  • ISSN
    2175-8603
  • Print_ISBN
    978-1-4244-3369-8
  • Electronic_ISBN
    2175-8603
  • Type

    conf

  • DOI
    10.1109/COBEP.2009.5347686
  • Filename
    5347686