• DocumentCode
    735939
  • Title

    FPGA implementation of high gain observer for induction machine using Simulink HDL coder

  • Author

    Besbes, Moez ; Said, Salim Hadj ; M´Sahli, Faouzi

  • Author_Institution
    Dept. of Electr. Eng., ENIM, Department of Electrical Engineering, Tunisia
  • fYear
    2015
  • fDate
    25-27 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper focus on the implementation in Field Programmable Gate Arrays (FPGA) of high gain observer (HGO) applied to induction machine. We use the evaluated board Spartant3E with Xc3s500 FPGA for this purpose. The three phases supply and its corresponding pulse width modulation (PWM) are softly generated. Then, with only the both stator currents measurements, an estimation of rotor flux, mechanical speed achieved. Due to the limitation resources of Xc3s500, we have choice a reduced size format of the internals variables as well as the software algorithm can give an acceptable signals with moderate ripples. We have highlight different ways to obtain the implementation of complex functions inherent of the HGO. With the flexibility of our method, other algorithm related to observation or advanced control law can easily embedded into the FPGA.
  • Keywords
    asynchronous machines; control engineering computing; electric current measurement; field programmable gate arrays; machine control; pulse width modulation; stators; HGO; PWM; Simulink HDL coder; Spartant3E board; Xc3s500 FPGA; field programmable gate arrays; high gain observer; induction machine; pulse width modulation; rotor flux estimation; stator current measurements; three phase supply; Current measurement; Field programmable gate arrays; Induction machines; Observers; Rotors; Stators; High gain observer Implementation Field Programmable Gate Induction motors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
  • Conference_Location
    Tlemcen
  • Type

    conf

  • DOI
    10.1109/CEIT.2015.7233064
  • Filename
    7233064