• DocumentCode
    3218748
  • Title

    A type-2 fuzzy logic controller for dynamic positioning systems

  • Author

    Chen, Xue Tao ; Tan, Woei Wan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2010
  • fDate
    9-11 June 2010
  • Firstpage
    1013
  • Lastpage
    1018
  • Abstract
    This paper presents an approach to design type- 2 fuzzy logic controllers (FLCs) for dynamic positioning (DP) systems, and the design process can be easily extended to other multi-input multi-output (MIMO) systems with coupling between loops. The combination of FLCs and nonlinear observers removes the need to linearize the kinematic equations of motion when designing control systems for the DP systems. Simulations with a supply vessel demonstrate the performance of the proposed controller. Comparisons show that the type-2 FLC outperform the linear quadratic regulator (LQR) controller and is more robust. In the face of disturbances, the type-2 FLC has better disturbance rejection property than its type-1 counterpart.
  • Keywords
    MIMO systems; control system synthesis; fuzzy control; linear quadratic control; motion control; observers; position control; robust control; DP system; FLC combination; designing control system; dynamic positioning system; kinematic equation; linear quadratic regulator controller; loop coupling; motion equation; multiple input multiple output system; nonlinear observer; type-2 fuzzy logic controller; Control systems; Fuzzy logic; Kinematics; MIMO; Motion control; Nonlinear control systems; Nonlinear equations; Process design; Regulators; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2010 8th IEEE International Conference on
  • Conference_Location
    Xiamen
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4244-5195-1
  • Electronic_ISBN
    1948-3449
  • Type

    conf

  • DOI
    10.1109/ICCA.2010.5524273
  • Filename
    5524273