• DocumentCode
    391399
  • Title

    A ship´s minimum-time maneuvering system using neural networks

  • Author

    Mizuno, Naoki ; Tamai, Yoshifumi ; Okazaki, Tadatsugi ; Ohtsu, Kohei

  • Author_Institution
    Nagoya Inst. of Technol., Japan
  • Volume
    3
  • fYear
    2002
  • fDate
    5-8 Nov. 2002
  • Firstpage
    1848
  • Abstract
    In this paper a ship´s minimum-time maneuvering system using neural networks is proposed. In the proposed method, the neural networks are used both for interpolating the pre-computed minimum-time solution for the real-time situation and for compensating the control error caused by some modeling errors, disturbances etc. In order to investigate the effectiveness of the proposed method, computer simulations and actual sea tests are carried out using a training ship Shioji Maru.
  • Keywords
    digital simulation; error compensation; interpolation; neural nets; position control; ships; Shioji Maru; computer simulations; control error compensation; disturbances; interpolation; minimum-time maneuvering system; modeling errors; neural networks; pre-computed minimum-time solution; real-time situation; ship; training ship; Boundary value problems; Calculus; Computer errors; Computer simulation; Error correction; Marine technology; Marine vehicles; Mathematical model; Neural networks; Nonlinear dynamical systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
  • Print_ISBN
    0-7803-7474-6
  • Type

    conf

  • DOI
    10.1109/IECON.2002.1185252
  • Filename
    1185252