Affiliation:
1. Institute of Ship Technology, Ocean Engineering and Transport Systems, University of Duisburg-Essen , 47057 Duisburg, Germany
Abstract
A data-driven system identification approach was developed to identify the hydrodynamic coefficients of a mathematical maneuvering model. The method, developed primarily for use in the context of autonomous shipping, solved the ship motion equations using measurements from free-running model tests, whereby an efficient recently developed Euler equation-based numerical approach determined the zero-frequency added masses. The method is simple and robust and incorporates the physical properties of hydrodynamic forces to enforce a physically realistic solution. The method was verified and validated with free-running maneuver tests. The predicted ship kinematics and trajectories compared favorably with the measurements. The potential of the method was demonstrated.
Funder
Bundesministerium für Wirtschaft und Energie
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Reference27 articles.
1. M. A.
Abkowitz
, “
Lectures on ship hydrodynamics—Steering and manoeuvrability,” Technical Report No. Hy-5,
Hydro-Og Laboratorium, 1964.
2. Theory and observations on the use of a mathematical model for ship manoeuvring in deep and confined waters
3. Simulation of combined engine and rudder maneuvers using an improved model of hull-propeller-rudder interactions,1984
4. Nonparametric modeling of ship maneuvering motion based on self-designed fully connected neural network;Ocean Eng.,2022
5. On neural network identification for low-speed ship maneuvering model;J. Mar. Sci. Technol.,2022