• DocumentCode
    1797994
  • Title

    Adaptive backstepping-based nonlinear disturbance observer for fin stabilizer system

  • Author

    Weiwei Bai ; Tieshan Li ; Zhaokuan Lu

  • Author_Institution
    Coll. of Marine Navig., Dalian Maritime Univ., Dalian, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1258
  • Lastpage
    1264
  • Abstract
    In this paper, an adaptive backstepping controller based on nonlinear disturbance observer (DOB) is proposed for the nonlinear fin stabilizer system. DOB is responsible for disturbance rejection and uncertainty compensation, while the adaptive backstepping scheme is proposed for dealing with uncertain parameters of the fin stabilizer model. The designed controller guarantees uniform ultimate boundedness of all the signals in the closed-loop system and the tracking errors converge to a small neighborhood of the origin. The advantages of the proposed control scheme comprise that the DOB shorten the response time and observes the whole disturbances of the fin stabilizer system. Simulation example is presented to show the preciseness and robustness of the stabilization control realized by the proposed method.
  • Keywords
    adaptive control; closed loop systems; control nonlinearities; nonlinear control systems; observers; ships; stability; vehicle dynamics; DOB; adaptive backstepping controller; adaptive backstepping-based nonlinear disturbance observer; closed-loop system; disturbance rejection; fin stabilizer model; nonlinear disturbance observer; nonlinear fin stabilizer system; stabilization control; tracking errors; uncertainty compensation; uniform ultimate boundedness; Adaptive systems; Backstepping; Marine vehicles; Mathematical model; Observers; Robustness; Uncertainty; Adaptive Control; Backstepping; Fin Stabilizer; Nonlinear Disturbance Observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889722
  • Filename
    6889722