• DocumentCode
    2317200
  • Title

    AI-based sensorless speed estimation of 3-phase BLDC motor

  • Author

    Srisertpol, J. ; Srikaew, A. ; Jawayon, P.

  • Author_Institution
    Sch. of Mech. Eng., Suranaree Univ. of Technol., Nakhon Ratchasima, Thailand
  • fYear
    2010
  • fDate
    25-27 Aug. 2010
  • Firstpage
    537
  • Lastpage
    543
  • Abstract
    This paper describes a signal-based speed estimation of 3-Phase Brushless Direct Current (BLDC) motor using the relationship between commutation signal and Back Electromotive Force (Back-EMF). Both signals can directly be measured from each phase of motor´s terminal. The relationship function between both signals is approximated and filtered to find Haft of phase voltage-Crossing Point and using Artificial Intelligence find coefficient of function and filter´s parameters of each speed.
  • Keywords
    aluminium; brushless DC motors; velocity measurement; 3-phase BLDC motor; artificial intelligence; back electromotive force; commutation signal; phase voltage-crossing point; sensorless speed estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on
  • Conference_Location
    Suzhou, Jiangsu
  • Print_ISBN
    978-1-4244-6334-3
  • Type

    conf

  • DOI
    10.1109/IWACI.2010.5585142
  • Filename
    5585142