System identification of a physics-informed ship model for better predictions in wind conditions
Journal article, 2024

System identification offers ways to obtain proper models describing a ship’s dynamics in real operational conditions but poses significant challenges, such as the multicollinearity and generality of the identified model. This paper proposes a new physics-informed ship manoeuvring model, where a deterministic semi-empirical rudder model has been added, to guide the identification towards a physically correct hydrodynamic model. This is an essential building block to distinguish the hydrodynamic modelling uncertainties from wind, waves, and currents – in real sea conditions – which is particularly important for ships with wind-assisted propulsion. In the physics-informed manoeuvring modelling framework, a systematical procedure is developed to establish various force/motion components within the manoeuvring system by inverse dynamics regression. The novel test case wind-powered pure car carrier (wPCC) assesses the physical correctness. First, a reference model, assumed to resemble the physically correct kinetics, is established via parameter identification on virtual captive tests. Then, the model tests are used to build both the physics-informed model and a physics-uninformed mathematical model for comparison. All models predicted the zigzag tests with satisfactory agreement. Thus, they can indeed be considered as being mathematically correct. However, introducing a semi-empirical rudder model seems to have guided the identification towards a more physically correct calm water hydrodynamic model, having lower multicollinearity and better generalization.

KVLCC2

Wind-assisted propulsion

System identification

Inverse dynamics

Multicollinearity

Physics-informed manoeuvring model

Author

Martin Alexandersson

RISE Research Institutes of Sweden

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

Martin Kjellberg

RISE Research Institutes of Sweden

Ocean Engineering

0029-8018 (ISSN)

Vol. 310 1 118613

Strategic research project on Chalmers on hydro- and aerodynamics

The Chalmers University Foundation, 2019-01-01 -- 2023-12-31.

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance

Transport

Energy

Subject Categories

Applied Mechanics

Vehicle Engineering

Fluid Mechanics and Acoustics

Control Engineering

Roots

Basic sciences

DOI

10.1016/j.oceaneng.2024.118613

More information

Latest update

8/8/2024 1