Dynamic Analysis of Multi-Degree-of-Freedom Mooring Mechanisms

Authors

  • Wei Zhao China Waterborne Transport Research Institute, Beijing, China
  • Guoqing Huang China Waterborne Transport Research Institute, Beijing, China
  • Jiuchao Zhang China Waterborne Transport Research Institute, Beijing, China

DOI:

https://doi.org/10.54097/eky9vs51

Keywords:

dynamic analysis, MDOF, mooring

Abstract

This paper analyzes the bottleneck issues in automatic ship mooring technology and highlights the importance of dynamic analysis in mooring mechanism design. Subsequently, dynamics modeling and simulation were conducted for a mooring mechanism capable of pitching, telescoping, and rotating. Key parameters such as force, angular velocity, angular acceleration, and torque at critical joints were extracted. The obtained results were thoroughly analyzed to evaluate the dynamic performance of the mechanism.

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References

[1] YANG Wei Zhong, CHEN Qing Wei, and ZHANG Pan Pan, “Development and Application of Ship Automatic Mooring Technology”, ZhongGuoShuiYun, pp. 19(08):25–26, 2019.

[2] GAO Feng, TANG You Gang, NIE Xiao Tong. “Review of research and application on automatic mooring system of ships in ports”, China Harbour Engineering, pp. 09:11-15,2022.

[3] SHEN Wen He, DUAN Yu Xuan, WAN Gao. “Recent Advancements in Automated Ship Mooring Systems”, China Ship Survey, pp.2:80-85, 2022.

[4] HU Kun, Kinematics Analysis and Simulation of Mobile Manipulator. He Bei, China: Hebei University of Technology, 2006.

[5] DOU Jian Fei, Research on the Kinematics and Dynamics of the Intelligent Mooring Manipulator in the Wharf. Tian Jin, China: Tianjin University of Technology, 2022.

[6] XUE Jin Ji, Performance Analysis and Optimal Design of Robot System Based on ADAMS. Jiang Su, China: Nanjing University of Information Science & Technology, 2012.

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Published

27-03-2026

Issue

Section

Articles

How to Cite

Zhao, W., Huang, G., & Zhang, J. (2026). Dynamic Analysis of Multi-Degree-of-Freedom Mooring Mechanisms. Frontiers in Computing and Intelligent Systems, 16(1), 246-252. https://doi.org/10.54097/eky9vs51