• DocumentCode
    2683171
  • Title

    A novel direct torque control based on variable structure control in Hybrid Electric Vehicle induction machine drive

  • Author

    Xiying, Ding ; Qingding, Guo

  • Author_Institution
    Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
  • Volume
    4
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    56
  • Lastpage
    59
  • Abstract
    According to the requirements of the HEV for frequent start-stop, power feed-back, low speed high torque in climbing, boosting in accelerating and high efficiency, this paper proposes a motor drive system based on variable structure control. During different running states, three different DTC methods are applied. In middle and high speed, the traditional DTC is used; in the sub-low-speed, increasing the density of the regional division of flux linkage and optimizing the choice of the switch vector is used; in super-low-speed, the predictive control based on the DTC is used to decrease torque ripple, meantime, genetic algorithm is used to optimize the control parameters of the system in order to efficiently weaken the shock in switching between the different algorithm. The simulation results shows, this control strategy can meet the performance requirements of HEV well.
  • Keywords
    genetic algorithms; hybrid electric vehicles; induction motor drives; predictive control; torque control; variable structure systems; DTC; HEV; direct torque control; flux linkage; genetic algorithm; hybrid electric vehicle; induction machine drive; predictive control; variable structure control; Optimization; Direct Torque Control; Hybrid Electric Vehicle; Induction Motor; Variable Structure Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5610210
  • Filename
    5610210