Abstract
The modern maritime industry is moving toward the development of technology that will allow for full or partial autonomy of ship operation. This innovation places high demands on ship performance prediction techniques at the design stage. The research work presented in the article is related to the design stage of the ship and concerns methods for prognosis and evaluation of the specific operational condition of the ship, namely the dynamic positioning (DP). The paper is an introduction to a study that seeks to assess the impact of using advanced simulation models on the accuracy of DP capability prediction. To this end, the Potential Theory and methods of Computational Fluid Dynamics (CFD) are applied to determine the mathematical model of the ship. The parameters obtained in the course of simulation studies have been compared to those obtained experimentally. The study showed that the proposed method is sufficiently accurate for the purposes of determining the added mass and damping coefficients of the ship. Consequently, it is considered that design offices could improve the accuracy of the DP prediction by using mathematical modeling and numerical methods to estimate selected ship parameters.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Piekło, A., Witkowska, A., Zubowicz, T.: Dynamic positioning capability assessment for ship design purposes. In: Kowalczuk, Z. (ed.) Intelligent and Safe Computer Systems in Control and Diagnostics. 15th International Conference on Diagnostics of Processes and Systems, Poland, 5–7 September 2022, vol. 545, pp. 386–397. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-16159-9_31
Skjetne, R., Smogeli, Ø., Fossen, T.I.: Modeling, identification, and adaptive maneuvering of CyberShip II: a complete design with experiments. In: IFAC Proceedings Volumes, vol. 37, no. 10, pp. 203–208 (2004). IFAC Conference on Computer Applications in Marine Systems - CAMS 2004, Ancona, Italy, 7–9 July 2004
Skjetne, R.: The Maneuvering problem. Ph.D. thesis
Meng, Y., Zhang, X., Zhang, X.: Identification modeling of ship nonlinear motion based on nonlinear innovation. Ocean Eng. 268, 113471 (2023). https://doi.org/10.1016/j.oceaneng.2022.113471
Witkowska, A., Armiński, K., Zubowicz, T., Ossowski, F., Śmierzchalski, R.: Autonomous ship utility model parameter estimation utilising extended Kalman filter. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds.) Advanced, Contemporary Control. AISC, vol. 1196, pp. 1531–1542. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50936-1_127
Sen, D.T., Vinh, T.C.: Determination of added mass and inertia moment of marine ships moving in 6 degrees of freedom, vol. 2, pp. 8–14, March 2016. https://doi.org/10.11648/j.ijtet.20160201.12
Maliky, N.A., Teguh Subarkah, M., Hidayat, S.: Added mass and drag prediction using CFD fluent simulation for an autonomous barge parameters. In: 2019 6th International Conference on Electric Vehicular Technology (ICEVT), pp. 52–57 (2019). https://doi.org/10.1109/ICEVT48285.2019.8993988
Maliky, N., Subarkah, M., Putra, N., Hidayat, S.: Prediction of vessel dynamic model parameters using computational fluid dynamics simulation. Adv. Sci. Technol. Eng. Syst. J. 5, 926–936 (2020). https://doi.org/10.25046/aj0506110
el Moctar, O., Lantermann, U., Chillcce, G.: An efficient and accurate approach for zero-frequency added mass for maneuvering simulations in deep and shallow water. Appl. Ocean Res. 126, 103259 (2022). https://doi.org/10.1016/j.apor.2022.103259
Fossen, T.I.: Handbook of Marine Craft Hydrodynamics and Motion Control, 2nd edn. Wiley, Chichester (2021)
Lindegaard, K.-P.: Acceleration feedback in dynamic positioning. Ph.D. thesis, Faculty of Information Technology, Mathematics, and Electrical Engineering Department of Engineering Cybernetics, Norwegian University of Science and Technology (2003)
Værnø, S.A., Skjetne, R., Kjerstad, K., Calabró, V.: Comparison of control design models and observers for dynamic positioning of surface vessels. Control. Eng. Pract. 85, 235–245 (2019). https://doi.org/10.1016/j.conengprac.2019.01.015
Yeye, L., Xiaogong, L., Kun, L.: Robust tracking control for dynamic positioning ships subject to dynamic safety constraints. Ocean Eng. 266, 112710 (2022). https://doi.org/10.1016/j.oceaneng.2022.112710
DNV, DNV-ST-0111, Assessment of station keeping capability of dynamic positioning vessels. Det Norske Veritas (2021)
Faltinsen, O.M.: Sea Loads on Ships and Offshore Structures. Cambridge University Press Cambridge, New York (1990). http://www.loc.gov/catdir/toc/cam031/90043346.html
Wang, Y., Zhang, X., Fu, Y., Ding, F., Fu, M., Wang, C.: Adaptive fuzzy sliding mode controller for dynamic positioning of FPSO vessels. In: OCEANS 2019 - Marseille, pp. 1–7 (2019). https://doi.org/10.1109/OCEANSE.2019.8867403
Kraskowski, M., Grymajło, P.: Development of the measurement stand for experimental model tests of the dynamically positioned vessels. In: Symposium Proceedings, International Symposium of Hydrodynamics in Ship Design, Safety, Manoeuvring and Operation. 22nd HYDRONAV 2021 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Piekło, A., Hoffmann, P., Witkowska, A., Zubowicz, T. (2023). Identification of Ship’s Hull Mathematical Model with Numerical Methods. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. https://doi.org/10.1007/978-3-031-35173-0_31
Download citation
DOI: https://doi.org/10.1007/978-3-031-35173-0_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35172-3
Online ISBN: 978-3-031-35173-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)