Optimization of Intelligent Control Algorithms in Ship Automatic Berthing Systems

DOI

10.2991/978-94-6463-823-3_2How to use a DOI?

Keywords

Ship automatic berthing; MMG model; Intelligent control algorithms; Trajectory planning

Abstract

Ship automatic berthing remains one of the most complex operations in the maritime industry due to low-speed maneuvering, environmental disturbances, and under-actuated vessel dynamics. In response to these challenges, this paper presents a comprehensive study of mathematical modeling approaches—particularly the Modular Mathematical Group (MMG) model-and advanced control strategies designed to ensure safe, precise, and efficient berthing. The MMG framework facilitates localized parameter modifications for hull, rudder, and propeller, offering high fidelity in simulating environmental influences such as wind and currents. Beyond modeling, various intelligent control algorithms, including artificial neural networks (ANN), fuzzy logic, reinforcement learning (RL), and model predictive control (MPC), are investigated to address trajectory planning, low-speed motion control, and disturbance compensation. Empirical data demonstrate that hybrid methods, which combine neural and classical controllers, often outperform single-technique approaches, reducing positional errors and improving robustness under wind speeds up to 15 m/s. Finally, this paper discusses system integration challenges, performance optimization methods, and future trends, highlighting the growing importance of IoT, digital twins, and evolving regulatory frameworks. The findings underscore how integrating accurate modeling with robust intelligent algorithms can enhance safety and reliability in autonomous berthing operations.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Libo Sheng
PY  - 2025
DA  - 2025/08/31
TI  - Optimization of Intelligent Control Algorithms in Ship Automatic Berthing Systems
BT  - Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)
PB  - Atlantis Press
SP  - 9
EP  - 21
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-823-3_2
DO  - 10.2991/978-94-6463-823-3_2
ID  - Sheng2025
ER  -