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Adaptive target tracking of the underway replenishment in consideration of the hydrodynamic interaction between two ships
Citation Link: https://doi.org/10.15480/882.3352
Publikationstyp
Conference Paper
Date Issued
2019-09
Sprache
English
Author(s)
Herausgeber*innen
TORE-DOI
TORE-URI
Article Number
57
Citation
11th International Workshop on Ship and Marine Hydrodynamics (IWSH2019), Paper 57
Contribution to Conference
Underway replenishment is a common way for ship supply at present, and the manual manipulation is the usual mode in the present, which would be greatly affected by the helmsman’s experience. It is expected that the automatic control mode will become the main mode in the future. During the process of ship underway replenishment, interaction disturbances between two ships exist, which should be accounted for controller design. In this paper, the ship-to-ship hydrodynamic interactions are analyzed by using Computational Fluid Dynamics (CFD) method. The influences of transversal and longitudinal distance between two ships on the hydrodynamic interactions are illustrated. The details of the flow filed, such as pressure distributions on the two ship hulls and wave patterns are discussed to get a deeper insight into the physical flow mechanism during the underway replenishment. Then the ship motion model in consideration of the hydrodynamic interactions between two ships of underway replenishment is presented. The model predictive control (MPC) technology is adopted to control the yaw motion. To minimize the cross-track error and compensate for the drift effect caused by the hydrodynamic interactions between two ships, the integral line of sight (ILOS) guidance law is used for generating the desired heading angle. Finally, the computer simulations are conducted to evaluate the efficiency of the controller.
Subjects
Adaptive target tracking
Computational Fluid Dynamics (CFD)
Ship to ship interaction
Underway replenishment
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding Organisations
China Postdoctoral Science Foundation
More Funding Information
This work is financially supported by China Postdoctoral Science Foundation under Grant No. 2019M651596, to which the authors are most grateful.
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