In this paper, a new minimum time ship maneuvering method using neural network (NN) and nonlinear model predictive compensator is proposed. In this proposed method the NN is used for interpolating the precomputed minimum time solution for real time situations and the nonlinear dynamical model of a ship is used for compensating the control error caused by some modeling errors, disturbances and so on. The introduction of the nonlinear model into the online control system is inspired by the idea that since the nonlinear dynamical model of a ship has been constructed for the off-line numerical computation of the optimal solutions, it could also be used to enhance online control performance. In order to investigate this method, simulation studies and actual sea tests were carried out using a training ship Shioji Maru. The results showed that the system gives approximate solutions in a short computing time and good tracking performance in the actual sea trials.


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    Titel :

    Minimum time ship maneuvering method using neural network and nonlinear model predictive compensator


    Weitere Titelangaben:

    Zeitminimale Schiffsteuerungsmethode mit Hilfe eines neuronalen Netzes und einer nichtlinearen Modell-Prädiktor-Regelung


    Beteiligte:
    Mizuno, Naoki (Autor:in) / Kuroda, Masaki (Autor:in) / Okazaki, Tadatsugi (Autor:in) / Ohtsu, Kohei (Autor:in)


    Erscheinungsdatum :

    2007


    Format / Umfang :

    9 Seiten, 16 Bilder, 1 Tabelle, 19 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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