Open this publication in new window or tab >>2024 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 310, article id 118613Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
Elsevier BV, 2024
Keywords
Hydrodynamics, Religious buildings, Rudders, Ship propulsion, Uncertainty analysis, Hydrodynamic modeling, Inverse dynamics, KVLCC2, Multicollinearity, Physic-informed maneuvering model, Proper models, Semi-empirical, System-identification, Wind conditions, Wind-assisted propulsion, computer simulation, hydrodynamics, inverse analysis, numerical model, prediction, ship motion, Regression analysis
National Category
Vehicle Engineering
Identifiers
urn:nbn:se:ri:diva-74708 (URN)10.1016/j.oceaneng.2024.118613 (DOI)2-s2.0-85198040928 (Scopus ID)
Funder
Swedish Transport Administration, FP4 2020
Note
The authors would like to acknowledge the financial support from Trafikverket/Lighthouse (grant id: FP4 2020) to prepare this paper. They would also thank all personnel at SSPA who have been involved in creating the model test results, building the ship models, and conducting the experiments.
2024-08-092024-08-092024-08-09Bibliographically approved