A comparison of ship manoeuvrability models to approximate ship navigation trajectories
Journal article, 2023

It is essential to describe a ship’s manoeuvrability for various applications, e.g. optimal control of unmanned surface vehicles (USVs). In this study, the capability of two recognised manoeuvrability models to predict ships’ trajectories is investigated based on both simulation and open-water experiment test data. The parameters of these models are estimated by a statistical learning method. The goodness of the two estimated models for describing a merchant ship’s manoeuvrability is first studied using her manoeuvring simulation data. Then, experimental manoeuvring tests to use a USV in open water with wind and drifting effects are used to check the conventional model identification procedures. Finally, some modifications and adjustments are proposed to improve the conventional procedures. It shows that the proposed procedures can accurately derive the ship’s manoeuvrability based on experimental data.

statistical regression

parameter identification

Manoeuvrability models

ship trajectory

Author

Martin Alexandersson

SSPA Sweden AB

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Zhang Daiyong

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Wengang Mao

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Jonas Ringsberg

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Ships and Offshore Structures

1744-5302 (ISSN) 1754-212X (eISSN)

Vol. 18 4 550-557

E-Nav - Efficient Electronic Navigation at Sea

European Commission (EC), 2019-04-11 -- 2021-10-11.

VINNOVA (2019-01059), 2019-03-01 -- 2021-08-31.

VINNOVA (2019-01059), 2019-04-11 -- 2021-10-11.

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance

Transport

Subject Categories

Computational Mathematics

Vehicle Engineering

Mathematical Analysis

Roots

Basic sciences

DOI

10.1080/17445302.2022.2067409

More information

Latest update

4/11/2023