• DocumentCode
    2981378
  • Title

    Asynchronous machine stator resistance estimation using integrated PWM modulator and sampler unit as FPGA application

  • Author

    Samuelsen, Dag ; Sulkowski, Waldemar

  • Author_Institution
    Buskerud Univ. Coll., Kongsberg
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    1416
  • Lastpage
    1420
  • Abstract
    The paper demonstrates how a simple, low-cost and effective stator resistance estimation scheme for FPGA can be employed, utilizing the large degree of freedom a FPGA impose with regard to system design, while at the same time conform to the constraints the same technology infer. In a computing system, a FPGA removes the limitations of the Von Neuman-architecture. Although the (Super) Harward architecture, used by most DSP processors, relieve this limitations, this is not anywhere near the power of the parallel computing capability of FPGA. A FPGA is at the same time somewhat limited with regard to complexity of mathematical operations. Although this limitations has been removed with the introduction of FPGA with embedded CPU, there are still reasons for keeping the design simple, when overall cost should kept low. The estimator has been tested on an asynchronous machine, with satisfying results.
  • Keywords
    field programmable gate arrays; pulse width modulation; stators; FPGA application; Von Neuman architecture; asynchronous machine stator resistance estimation; integrated PWM modulator; Digital signal processing; Educational institutions; Field programmable gate arrays; Frequency estimation; Motor drives; Paper technology; Parallel processing; Pulse width modulation; State estimation; Stators; FPGA; Sensorless; stator resistance identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2008. EPE-PEMC 2008. 13th
  • Conference_Location
    Poznan
  • Print_ISBN
    978-1-4244-1741-4
  • Electronic_ISBN
    978-1-4244-1742-1
  • Type

    conf

  • DOI
    10.1109/EPEPEMC.2008.4635466
  • Filename
    4635466