State-of-the-Art Review and Future Perspectives on Maneuvering Modeling for Automatic Ship Berthing

Author:

Zhang Song12ORCID,Wu Qing12,Liu Jialun134ORCID,He Yangying5ORCID,Li Shijie12

Affiliation:

1. State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China

2. School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China

3. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China

4. National Engineering Research Center for Water Transport Safety, Wuhan 430063, China

5. School of Navigation, Wuhan University of Technology, Wuhan 430063, China

Abstract

Automatic berthing is at the top level of ship autonomy; it is unwise and hasty to hand over the control initiative to the controller and the algorithm without the foundation of the maneuvering model. The berthing maneuver model predicts the ship responses to the steerage and external disturbances, and provides a foundation for the control algorithm. The modular MMG model is widely adopted in ship maneuverability studies. However, there are two ambiguous questions on berthing maneuver modeling: What are the similarities and differences between the conventional MMG maneuvering model and automatic berthing maneuvering model? How can an accurate automatic berthing maneuvering model be established? To answer these two questions, this paper firstly performs bibliometric analysis on automatic berthing, to discover the hot issues and emphasize the significance of maneuver modeling. It then demonstrates the similarities and differences between the conventional MMG maneuvering model and the automatic berthing maneuvering model. Furthermore, the berthing maneuver specifications and modeling procedures are explained in terms of the hydrodynamic forces on the hull, four-quadrant propulsion and steerage performances, external disturbances, and auxiliary devices. The conclusions of this work provide references for ship berthing mathematical modeling, auxiliary device utilization, berthing aid system improvement, and automatic berthing control studies.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference148 articles.

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2. Implementation of automatic ship berthing using artificial neural network for free running experiment;Ahmed;IFAC Proc. Vol.,2013

3. China Classification Society (2015). Rules for Intelligent Ships, China Classification Society.

4. China Classification Society (2020). Rules for Intelligent Ships, China Classification Society.

5. China Classification Society (2023). Rules for Intelligent Ships, China Classification Society.

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