Modeling and Simulation of Automatic Berthing based on Bow and Stern Thruster Assist for Unmanned Surface Vehicle

Authors

  • Gongxing Wu College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai, 201306, China
  • Xiaolong Zhao College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai, 201306, China
  • Linling Wang College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai, 201306, China

DOI:

https://doi.org/10.30564/jms.v3i2.2962

Abstract

In order to solve the technical problems of autonomous berthing of the Unmanned Surface Vehicle (USV), this research has met the requirements of maneuverability berthing under different conditions by effectively using the bow and stern thrusters, which is a technological breakthrough in actual production and life.Based on the MMG model, the maneuverability mathematical model of the USV with bow and stern thruster was established. And the motion simulation of USV maneuvering was carried out through the numerical simulation calculation. Then the berthing plan was designed based on the maneuverability analysis of the USV low-speed motion, and the simulation of automatic berthing for USV was carried out. The research results of this paper can be of certain practical significance for the USV based on the support of the bow and stern thruster in the berthing. At the same time, it also provides a certain theoretical reference for the handling of the USV automatic berthing.

Keywords:

Automatic berthing, Unmanned surface vehicle, Mathematical model, Computer simulation

References

[1] Yang, K.U, Hur, J.G (2017) Study on ship automatic berthing system with mooring lines. China Ocean Engineering, 2017.v31, n1, p19-29, March 1.

[2] Ablyakimov Ilyas S, Shirokov Igor B(2017) Operation of local positioning systemfor automatic ship berthingProceedings of 2017 IEEE East-West Design and Test Symposium, EWDTS 2017, November 14.

[3] LiuChun-Sheng , HongBi-Guang(2007) Study of mathematical model for simulating ship berthing or unberthing with lateral thruster in harbor. Dalian HaishiDaxueXuebao/Journal of Dalian Maritime University, 2007,v33, n1, p29-32, February.

[4] AhmedYaseen Adnan, HasegawaKazuhiko(2014) Artificial neural networkbased automatic ship berthing combining PD controlled side thrusters - A combined controller for final approaching to berth. 2014 13th International Conference on Control Automation Robotics and Vision, 2014. ICARCV2014, p1304-1309.

[5] ImNam-Kyun, NguyenVan-Suong(2018) Artificial neural network controller for automatic ship berthing using head-up coordinate system. International Journal of Naval Architecture and Ocean Engineering, 2018.

[6] Tran Van Luong, Im Namkyun(2012) A study on ship automatic berthing with assistance of auxiliary devices. International Journal of Naval Architecture and Ocean Engineering, 2012.v4, n3, p199-210.

[7] AhmedYaseen Adnan, HasegawaKazuhiko(2012) Automatic ship berthing using artificial neural network based on virtual window concept in wind condition. IFAC Proceedings Volumes (IFAC-PapersOnline),2012. p286-291.

[8] Zhangweibin(2017) Study on autonomous berthing method of under-driven unmanned boat [D].Master’s thesis, Harbin engineering university, 2017.

[9] Yanchangjian (2008) Simulation study on operating efficiency of bow and stern thruster.Master’s thesis, Dalian maritime university, 2008.

[10] Baijun (2010) Simulation study on large ship berthing operation [D]. Master’s thesis,Dalian maritime university, 2010.

[11] Im, N.K.; Nguyen, V.S. Artificial neural network controller for automatic ship berthing using head-up coordinate system[J]. International Journal of Naval Architecture and Ocean Engineering,2017,S2092678216304368.

[12] Hu, J.F.; Wang, P.; Chang, H.B.; Lai, Y.P. Numerical computation and analysis of unsteady force for marine propeller operating behind a SWATH ship [J]. Chinese Journal of Hydrodynamics,2018,33(04):508-514.

[13] Taimuri, G, Matusiak, J, Mikkola, T, Kujala, P, Hirdaris, S. A 6-DoF maneuvering model for the rapid estimation of hydrodynamic actions in deep and shallow waters. Ocean Eng. 2020, 218, 108103.

[14] Taimuri, G., Mikkola, T., Matusiak, J., Kujala, P., Hirdaris, S. The influence of hydrodynamic assumptions on ship maneuvering. In Proceedings of the 22nd Numerical Towing Tank Symposium (NuTTS 2019), Tomar, Portugal, 29 September-1 October 2019.

[15] Li, Y.; Jia, Z.H.; Zang, W.B.; Liao, Y.L. Layered trajectory planning and experiment for the autoberthing of unmanned surface vehicles[J]. Journal of Harbin Engineering University,2019,40(06):1043-1050.

[16] Wu G, Zhao M, Cong Y, Hu Z, Li G. Algorithm of Berthing and Maneuvering for Catamaran Unmanned Surface Vehicle Based on Ship Maneuverability. Journal of Marine Science and Engineering. 2021; 9(3):289. https://doi.org/10.3390/jmse9030289

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