• DocumentCode
    2635006
  • Title

    A direct torque control of asynchronous motor based on fuzzy net-work

  • Author

    Dasong, Shu

  • Author_Institution
    Eng. Dept., Hunan Radio & TV Univ., Changsha, China
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    728
  • Lastpage
    731
  • Abstract
    In this paper, we proposes a direct torque control method of alternating current servomotor, which aims for solving the problems such as large torque ripple of direct control in low speed range and inconsistent inverter switching frequency. In the thesis, SVPWM control strategy and fuzzy neural network adjustor are used for controlling. MATLAB simulation proves that the asynchronous motor using this type of control has small torque ripple and good performances both in dynamic and static.
  • Keywords
    fuzzy control; induction motors; machine control; neurocontrollers; torque control; MATLAB simulation; alternating current servomotor; asynchronous motor; direct torque control method; fuzzy network; fuzzy neural network; inverter switching frequency; low speed range; torque ripple; Couplings; Fuzzy control; Induction motors; Magnetic flux; Stators; Torque; Voltage control; Direct Torque Control; Induction motor; MATLAB simulation; fuzzy neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-8754-7
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/ICIEA.2011.5975681
  • Filename
    5975681