• DocumentCode
    151265
  • Title

    Sensorless control of 3-phase BLDC motors using DC current model

  • Author

    Won-Sang Im ; Wenxin Liu ; Jang-Mok Kim

  • Author_Institution
    Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA, USA
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    4484
  • Lastpage
    4490
  • Abstract
    This paper proposes a new sensorless control algorithm for 3-phase BLDC (Brushless DC) motors with the 120° conduction mode. This algorithm uses the mathematical DC current model of the BLDC motor to estimate the rotor´s speed and angle. The principle is similar to the conventional current model-based control of 3-phase PMSM (Permanent Magnet Synchronous Motor) with sinusoidal current waveform. The rotor speed and the angle can be obtained using the error between the measured and estimated currents. According to the proposed solution, the 3-phase BLDC is simplify modeled as a DC motor. Due to the non-ideal characteristics such as electrical commutation phenomenon and actual back-EMF shape, the estimated rotor speed and angle will deviate from the actual values. To overcome this problem, the change of the current through the feedback loop of the PI current regulator is used to correct the estimation of the rotor´s speed and angle. The validity of the proposed sensorless algorithm is verified through simulations and experiments.
  • Keywords
    PI control; brushless DC motors; electric current control; rotors; sensorless machine control; 3-phase BLDC motors sensorless control algorithm; 3-phase brushless DC motor conduction mode; PI current regulator; feedback loop; mathematical DC current model; nonideal characteristics; rotor angle estimation; rotor speed estimation; sinusoidal current waveform; Commutation; DC motors; Estimation; Mathematical model; Permanent magnet motors; Rotors; Sensorless control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
  • Conference_Location
    Pittsburgh, PA
  • Type

    conf

  • DOI
    10.1109/ECCE.2014.6954015
  • Filename
    6954015