• DocumentCode
    2027009
  • Title

    Research on Sliding Mode Robust Tracking Control of High Precision Linear Servo System Based on B Spline Network

  • Author

    Yibiao, Sun ; Qingding, Guo ; Ximei, Zhao

  • Author_Institution
    Sch. of Electr. Eng., Shenyang Univ. of Technol.
  • Volume
    2
  • fYear
    2005
  • fDate
    29-29 Sept. 2005
  • Firstpage
    1628
  • Lastpage
    1631
  • Abstract
    The permanent magnet linear servo system has some advantages of high speed, high response and direct drive, but the servo performance is influenced by the load disturbances, end-effects, nonlinear friction and the parameters variations. In order to eliminate the influences of the above-mentioned uncertain factors on the base of ensuring better tracking performance, a robust tracking control strategy combining variable structure control (VSC) to B spline nervous network (BSNN) is presented in this paper. The variable structure control has advantages of the fast response and the invariability of the uncertain factors, but its chattering phenomenon will influence the stationarity of the linear servo system and tracking precision. To reduce the "chattering" input, a BSNN is adopted to simulate the above-mentioned uncertain factors, thus the steady state accuracy of the system is enhanced further. The simulation results show that the solution not only has stronger robustness to the uncertainty of the linear servo system, but also has better tracking performance
  • Keywords
    linear motors; machine control; permanent magnet motors; robust control; servomechanisms; B spline nervous network; permanent magnet linear servo system; sliding mode robust tracking control; tracking precision; variable structure control; Control systems; Drives; Friction; Permanent magnets; Robust control; Robustness; Servomechanisms; Sliding mode control; Spline; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    7-5062-7407-8
  • Type

    conf

  • DOI
    10.1109/ICEMS.2005.202828
  • Filename
    1638066