• DocumentCode
    3216490
  • Title

    Path following of underactuated MSVs with model uncertainty and ocean disturbances along straight lines

  • Author

    Lu Liu ; Dan Wang ; Zhouhua Peng

  • Author_Institution
    Sch. of Marine Eng., Dalian Maritime Univ., Dalian, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    2590
  • Lastpage
    2595
  • Abstract
    This paper addresses the problem of path following for underactuated MSVs with dynamical uncertainty and time-varying ocean disturbances. The path is made up of straight-line segments connected by n waypoints. A robust adaptive path following strategy is proposed based on a LOS guidance scheme and a novel velocity controller. Specifically, the velocity controller employs an NN to identify the dynamical uncertainty and time-varying ocean disturbances. The predictor errors are utilized to construct the novel iterative updating laws for NN weights. Using a Lyapunov-Krasovskii functional, it is proven that the underactuated MSV is able to follow a piecewise linear path, and tracking errors converge to a small neighborhood of the origin. Simulation result is given to show the effectiveness of the proposed method.
  • Keywords
    Lyapunov methods; adaptive control; marine control; marine vehicles; neurocontrollers; path planning; robust control; time-varying systems; velocity control; LOS guidance scheme; Lyapunov-Krasovskii functional; NN weights; line-of-sight guidance; marine surface vessels; model uncertainty; neural network; piecewise linear path; robust adaptive path following strategy; straight-line segment path; time-varying ocean disturbance; tracking errors; underactuated MSV; velocity controller; Adaptive systems; Artificial neural networks; Navigation; Oceans; Stability analysis; Surges; Uncertainty; Iterative Updating Law; Line-of-sight; Neural Network; Path Following; Predictor; Underactuated Vessel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162359
  • Filename
    7162359