• DocumentCode
    3224018
  • Title

    Induction motor DTC based on adaptive SMC and fuzzy control

  • Author

    Shuai Zhao ; Haisheng Yu ; Jinpeng Yu ; Bingqiang Shan

  • Author_Institution
    Coll. of Autom. Eng., Qingdao Univ., Qingdao, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4474
  • Lastpage
    4479
  • Abstract
    This paper presents a novel direct torque control (DTC) based on adaptive sliding mode control (SMC) and fuzzy logic control (FLC) for speed control of induction motor. According to this method, an adaptive sliding mode controller is designed to replace the PID speed controller in order to increase system rapidity and anti-interference ability. In addition, a fuzzy logic controller is used to adjust the bandwidth of torque hysteresis controller. It can obviously reduce the torque ripple of induction motor at low speed. The stability analysis of the closed-loop control system is also analyzed by using Lyapunov theory. The simulation results show that the DTC based on adaptive SMC and FLC has better dynamic response and speed performance, high robustness and strong anti-interference to load torque disturbance at low speed.
  • Keywords
    Lyapunov methods; adaptive control; angular velocity control; closed loop systems; control system synthesis; fuzzy control; hysteresis; induction motors; machine control; stability; torque control; variable structure systems; FLC; Lyapunov theory; PID speed controller; adaptive SMC; adaptive sliding mode controller design; antiinterference ability; closed-loop control system stability analysis; direct torque control; fuzzy logic control; induction motor DTC; induction motor speed control; induction motor torque ripple; system rapidity; torque disturbance; torque hysteresis controller; Bandwidth; Fuzzy logic; Hysteresis; Induction motors; Stators; Switches; Torque; Adaptive SMC; DTC; FLC; Induction Motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162713
  • Filename
    7162713