• DocumentCode
    1474060
  • Title

    Three-Degree-of-Freedom Dynamic Model-Based Intelligent Nonsingular Terminal Sliding Mode Control for a Gantry Position Stage

  • Author

    Lin, Faa-Jeng ; Chou, Po-Huan ; Chen, Chin-Sheng ; Lin, Yu-Sheng

  • Author_Institution
    Dept. of Electr. Eng., Nat. Central Univ., Chungli, Taiwan
  • Volume
    20
  • Issue
    5
  • fYear
    2012
  • Firstpage
    971
  • Lastpage
    985
  • Abstract
    A three-degree-of-freedom (3-DOF) dynamic model-based intelligent nonsingular terminal sliding mode control (INTSMC) system is proposed in this study for the precision contours tracking of a gantry position stage. A Lagrangian equation-based 3-DOF dynamic model for the gantry position stage is derived first. Then, to minimize the synchronous error and tracking error in the precision contours tracking, the 3-DOF dynamic model-based INTSMC system is proposed. In this approach, a nonsingular terminal sliding mode control is designed for the gantry position stage to achieve finite time tracking control. Moreover, to increase the robustness and to improve the control performance, an interval type-2 recurrent fuzzy neural network, and asymmetric membership function, which combines the advantages of interval type-2 fuzzy logic system, recurrent neural network, and asymmetric membership function, is developed as an estimator to approximate a lumped uncertainty. Finally, some experimental results of the gantry position stage for optical inspection application are obtained to show the validity of the proposed control approach.
  • Keywords
    control system synthesis; cranes; fuzzy control; fuzzy logic; fuzzy neural nets; fuzzy set theory; neurocontrollers; performance index; position control; recurrent neural nets; robust control; tracking; uncertain systems; variable structure systems; 3-degree-of-freedom dynamic model-based intelligent nonsingular terminal sliding mode control; INTSMC system; Lagrangian equation; asymmetric membership function; control design; control performance; finite time tracking control; gantry position stage; interval type-2 fuzzy logic system; interval type-2 recurrent fuzzy neural network; lumped uncertainty approximation; optical inspection application; precision contour tracking; robustness; synchronous error minimization; tracking error minimization; Equations; Fuzzy control; Fuzzy neural networks; Inspection; Mathematical model; Synchronous motors; Uncertainty; Asymmetric membership function (AMF); Lyapunov stability; gantry position stage; interval type-2 fuzzy logic system; neural network; three-degree-of-freedom (3-DOF) dynamic model;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2012.2191412
  • Filename
    6172224