• DocumentCode
    3489876
  • Title

    Modelling and parameter identification of synchronous machine by PWM excitation signals

  • Author

    Mourad, Hasni ; Omar, Touhami ; Rachid, Ibtiouen ; Fadel, M. ; Caux, Stephane

  • Author_Institution
    Electr. & Ind. Syst. Lab.-LSEI, Univ. of Sci. & Technol. Houari Boumediene of Algiers, Algiers, Algeria
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    442
  • Lastpage
    447
  • Abstract
    This paper presents the results of a time-domain identification procedure to estimate the linear parameters of a salient-pole synchronous machine at standstill. The objective of this study is to use PWM input signal to identify the model structure and parameters of a salient-pole synchronous machine from standstill test data. The procedure consists to define, to conduct the standstill tests and also to identify the model structure. The signals used for identification are the excitation voltages at standstill and the flowing current in different windings. We estimate the parameters of operational impedances, or in other words the reactance and the time constants. The tests were carried out on synchronous machine of 1.5 kVA 380V 1500 rpm.
  • Keywords
    parameter estimation; synchronous machines; PWM excitation signals; flowing current; linear parameters; operational impedances; parameter identification; standstill tests; synchronous machine; time constants; time domain identification; Circuits; Damping; Parameter estimation; Power system transients; Pulse width modulation; Signal processing; Synchronous generators; Synchronous machines; Testing; Voltage; PWM signal excitation; Standstill tests; Synchronous machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4986-6
  • Electronic_ISBN
    978-1-4244-7919-1
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2010.5545040
  • Filename
    5545040