• DocumentCode
    2364335
  • Title

    Identification of Synchronous Machine Parameters Using Hysteresis Based Current Controller

  • Author

    Naouar, MW ; Monmasson, E. ; Slama-Belkhodja, I.

  • Author_Institution
    LSE-ENIT
  • fYear
    2006
  • fDate
    6-10 Nov. 2006
  • Firstpage
    1357
  • Lastpage
    1362
  • Abstract
    The accurate knowledge of machine parameters is quite important for the determination of the control parameters of a high-performance closed loop controllers. This paper presents a simple and accurate method for estimating the direct and quadrature axis inductances of a synchronous machine. The proposed identification method is based on closed loop current controller of the direct and quadrature stator current components. The synchronous machine inductances are estimated from the sampled current responses to step changes, with a locked rotor, of the direct and quadrature stator current references. Experimental results carried on a FPGA based prototyping platform are presented in order to demonstrate the effectiveness of the presented method
  • Keywords
    closed loop systems; electric current control; field programmable gate arrays; hysteresis; inductance; machine control; parameter estimation; rotors; stators; synchronous machines; FPGA; closed loop current controller; direct inductances; direct stator current components; high-performance closed loop controllers; hysteresis based current controller; locked rotor; parameters identification; quadrature axis inductances; quadrature stator current components; synchronous machine; Field programmable gate arrays; Frequency response; Hysteresis; Inductance; Industrial control; Stators; Synchronous machines; Testing; Torque control; Voltage control; FPGA; Hysteresis current controller; Parameter identification; Synchronous machine; d axis inductance; q axis inductance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
  • Conference_Location
    Paris
  • ISSN
    1553-572X
  • Print_ISBN
    1-4244-0390-1
  • Type

    conf

  • DOI
    10.1109/IECON.2006.347570
  • Filename
    4153024