• DocumentCode
    2039140
  • Title

    A torque control strategy of brushless direct current motor with current observer

  • Author

    Long Zhao ; Xiaobin Zhang ; Junhong Ji

  • Author_Institution
    State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    303
  • Lastpage
    307
  • Abstract
    This paper presents a torque control strategy of brushless DC (BLDC) motor based on current observer and state feedback control algorithm. Based on establishment and in depth analysis of the BLDC mathematical model, BLDC motor torque control is transformed into BLDC motor current control. Then a full dimensional current state observer is designed to estimate armature current of BLDC motor. After observing armature current with current state observer, it is fed back to the feedback state controller and the current reference input port to generate current control signal and current error signal, respectively. The control signal and error signal can be used to control the torque of BLDC motor. After completing the torque control algorithm of BLDC motor, a simulation model is developed using Matlab/Simulink. The capability and performance of the torque control algorithm of BLDC motor is verified.
  • Keywords
    brushless DC motors; electric current control; machine control; observers; state feedback; torque control; BLDC motor; Matlab-Simulink; armature current estimation; brushless direct current motor; current control; current control signal; current error signal; current reference input port; full dimensional current state observer; mathematical model; simulation model; state feedback control algorithm; torque control algorithm; torque control strategy; Brushless DC motors; Mathematical model; Observers; Torque; Torque control; BLDC motor; Torque control; observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237501
  • Filename
    7237501