• DocumentCode
    3550073
  • Title

    Biologically inspired sliding mode control of switched reluctance motor

  • Author

    Guoqin Gao ; Sun, Yukun ; Wang, Deming

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • Volume
    3
  • fYear
    2004
  • fDate
    6-9 Dec. 2004
  • Firstpage
    2150
  • Abstract
    As the ideal sliding motion can´t be formed in the practical system using a sliding mode control, the sliding mode controller for switched reluctance motor has the problem of large speed ripples. In this paper, a biologically inspired shunting model is incorporated into the variable structure sliding mode control for a switched reluctance motor in order to improve its performance. The simulation by MATLAB demonstrates the effectiveness of the proposed control scheme. The simulation results show that the switched reluctance motor using the proposed biologically inspired sliding mode control has the better speed tracking performance than using the conventional sliding mode control. In addition, the switched reluctance motor controller keeps the features of parameter insensitivity and rapid recovery from load disturbances.
  • Keywords
    machine control; reluctance motors; variable structure systems; velocity control; MATLAB; biologically inspired shunting model; biologically inspired sliding mode control; speed tracking; switched reluctance motor; variable structure sliding mode control; Biological system modeling; Control systems; Electric variables control; Linear feedback control systems; Mathematical model; Motion control; Reluctance machines; Reluctance motors; Sliding mode control; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
  • Print_ISBN
    0-7803-8653-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2004.1469497
  • Filename
    1469497