Automatic Vessel Steering in a Storm

Authors

DOI:

https://doi.org/10.2478/ecce-2022-0009

Keywords:

Automatic control, digital simulation, human factors, intelligent vehicles, steering systems

Abstract

The issues of automatic vessel control in a storm are considered in the paper. Vessel control in a storm is the most difficult stage in the vessel’s wiring, as it requires quick decisions to be made in difficult conditions. Practical experience shows that the deterioration of the working conditions of the crew is usually associated with an increase in the number of control errors, which is completely unacceptable in stormy conditions. To assess the safe speed and course in a storm, Yu. V. Remez has proposed a universal storm diagram, which allows identifying unfavourable combinations of vessel speed and course angles of the waves – the resonant zones, and avoid them. The universal Remez diagram provides for graphical calculations, which, in combination with the visual determination of the wave parameters, gives a very low accuracy. The article examines the possibility of automatic control of a vessel in a storm by automatic measurement of motion parameters and wave parameters, automatic calculation in the onboard controller of the vessel optimal safe speed and course during a storm, automatic maintenance of the optimal safe speed and course of the vessel. The automatic control significantly increases the accuracy of calculations, excludes the human factor, reduces the depletion of the crew, and increases the reliability of the vessel control in a storm. The efficiency and effectiveness of the method, algorithmic and software were tested on Imitation Modelling Stand in a closed loop with mathematical vessel models of the navigation simulator Navi Trainer 5000.

References

I. Popovych, V. Cherniavskyi, S. Dudchenko et al., “Experimental research of effective “The Ship’s Captain and the Pilot” interaction formation by means of training technologies,” Revista Espascios, vol. 41, no. 11, pp. 30, 2020. http://www.revistaespacios.com/a20v41n11/20411130.html

I. Popovych, O. Blynova, J. Álvarez, P. Nosov, and S. Zinchenko, “A historical dimension of the research on social expectations of an individual,” Revista Notas Históricas y Geográficas, vol. 27, pp. 190–217, Jul.-Dec. 2021. https://www.researchgate.net/publication/353588439_A_historical_dimension_of_the_research_on_social_expectations_of_an_individual

R. Shevchenko, V. Cherniavskyi, S. Zinchenko, M. Palchynska, S. Bondarevich, P. Nosov, and I. Popovych, “Research of psychophysiological features of response to stress situations by future sailors,” Revista Inclusiones, vol. 7, no. Especial, Oct.-Dec., pp. 566–579, 2020. http://ekhsuir.kspu.edu/handle/123456789/12273

P.S. Nosov, I.S. Popovych, V.V. Cherniavskyi, S.M. Zinchenko, Yu.A. Prokopchuk, and D.V. Makarchuk, “Automated identification of an operator anticipation on marine transport,” Radio Electronics, Computer Science, Control, vol. 3, pp. 158–172, 2020. https://doi.org/10.15588/1607-3274-2020-3-15

P. Nosov, V. Cherniavskyi, S. Zinchenko, I. Popovych, Yu. Prokopchuk, and M. Safonov, “Identification of distortion of the navigator’s time in model experiment,” Bulletin of University of Karaganda. Instrument and experimental techniques, vol. 4, no. 100, pp. 57–70, 2020. https://doi.org/10.31489/2020Ph4/57-70

H. Shen, H. Hashimoto, A. Matsuda et al. “Automatic collision avoidance of multiple ships based on deep Q-learning,” Applied Ocean Research Journal, vol. 86, pp. 268–288, May 2019. https://doi.org/10.1016/j.apor.2019.02.020

L. Yishan, G. Zhiqiang, Y. Jie et al., “Prediction of ship collision risk based on CART,” IET Intelligent Transport Systems, vol. 12, no. 10, pp. 1345–1350, Oct. 2018. https://doi.org/10.1049/iet-its.2018.5281

J. Park, J. Choi, and H.T. Choi, “COLREGS-compliant path planning considering time-varying trajectory uncertainty of autonomous surface vehicle,” Electronics Letters, vol. 55, no. 4, pp. 222–224, Feb. 2019. https://doi.org/10.1049/el.2018.6680

E. Tu, G. Zhang, L. Rachmawati et al., “Exploiting AIS date for intelligent maritime navigation: A comprehensive survey,” IEEE Transactions on Intelligent Transportation System, vol. 19, no. 5, pp. 1559–1582, May 2016. https://doi.org/10.1109/TITS.2017.2724551

S. M. Zinchenko, A. P. Ben, P. S. Nosov, I. S. Popovych, P. P. Mamenko, and V. M. Mateichuk, “Improving the accuracy and reliability of automatic vessel moution control system,” Radio Electronics, Computer Science, Control, vol. 2, pp. 183–195, 2020. https://doi.org/10.15588/1607-3274-2020-2-19

P. S. Nosov, I. S. Popovych, V. V. Cherniavskyi, S. M. Zinchenko, Yu. A. Prokopchuk, and D. V. Makarchuk, “Automated identification of an operator anticipation on marine transport,” Radio Electronics, Computer Science, Control, vol. 3, pp. 158–172, 2020. https://doi.org/10.15588/1607-3274-2020-3-15

S. Zinchenko, P. Nosov, V. Mateichuk, P. Mamenko, I. Popovych, and O. Grosheva, “Automatic collision avoidance system with many targets, including maneuvering ones,” Bulletin of University of Karaganda, Technical Physics, vol. 4, no. 96, pp. 69–79, 2019.

International Maritime Organization, “Guidance to the master for avoiding dangerous situations in following and quartering seas,” IMO MSC/Circ.707., Ref. T1/2.04/, 1995. [Online]. Available: https://docplayer.net/8648247-Imo-msc-circ-707-19-october-1995-reft1-2-04-guidance-to-the-master-for-avoiding-dangerous-situations-infollowing-and-quartering-seas.html

International Maritime Organization, “Revised guidance to the master for avoiding dangerous situations in adverse weather and sea conditions,” IMO MSC.1/Circ.1228, 2007. [Online]. Available: https://www.liscr.com/revised-guidance-master-avoiding-dangeroussituations-adverse-weather-and-sea-conditions

Maritime Consultative Organization, “Recommendation on intact stability for passenger and cargo ships under 100 meters in length, IMCO Resolution A.167, Nov. 1968. [Online]. Available: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://wwwcdn.imo.org/localresources/en/KnowledgeCentre/IndexofIMOResolutions/AssemblyDocuments/A.167(ES.IV).pdf

International Maritime Organization, “Recommendation on a severe wind and rolling criterion (weather criterion) for the intact stability of passenger and cargo ships of 24 meters in length and over, IMO Resolution A.562(14), Nov. 1985. [Online]. Available: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://wwwcdn.imo.org/localresources/en/KnowledgeCentre/IndexofIMOResolutions/AssemblyDocuments/A.562(14).pdf

T. Okada, “Marine weather ship handling in rough sea,” Japan P&I Club. P&I Loss Prevention Bulletin, vol. 45, Apr. 2019. [Online]. Available: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.piclub.or.jp/wp-content/uploads/2019/04/Loss-Prevention-Bulletin-Vol.45-Full.pdf

Ships Business, “Ships navigation in heavy weather and recommended action by master,” 2015. [Online]. Available: http://shipsbusiness.com/navigation-in-heavy-weather.html

Marine Sight, “What to do when ship encounters rough weather?” 2019. [Online]. Available: https://www.marineinsight.com/marine-safety/what-to-do-when-ship-encounters-rough-weather

North Sails News, “How to a sail safety in a storm”, 2016. [Online]. Available: https://www.northsails.com/sailing/en/2016/09/how-to-sailsafely-through-a-storm

Jr. Shatto, “Vessel wave heading control apparatus,” U.S. Patent no. 4 769 773, Sep. 6, 1988.

D. Akmaykin and D. Khomenko, “Use of ships radar for improvement of navigation in rough sea condition,” in Proceedings of the 2011 International Siberian Conference on Control and Communications (SIBCON’2011), Krasnoyarsk, Russia, Sep. 2011, pp. 147–148. https://doi.org/10.1109/SIBCON.2011.6072616

W. France, M. Levadou, T. Treakle, J. Paulling, R. Michel, and C. Moore, “An investigation of head-sea parametric rolling and its influence on container lashing systems,” Marine Technology, vol. 40, no. 1, pp. 1–19, Jan. 2003. https://doi.org/10.5957/mt1.2003.40.1.1

S. Korolyova and Yu. Marchuk, “The concept of storm and its influence on the navigation,” in Profmarket: Education. Language. Success, Sevastopol State University, Mar. 2017, pp. 195–196.

A. Ershov, S. Solnov, and A. Boyarinov, “Diagram for determining dangerous zones when sailing in heavy weather,” Bulletin of the Astrakhan State Technical University. Series: Marine Engineering and Technology, vol. 2018, no. 2, 2018. https://doi.org/10.24143/2073-1574-2018-2-22-27

A. Eremenko and Y. Zhukov, “Smart onboard seafaring safety assurance system,” Electrical and computer systems, vol. 22, no. 98, pp. 293–300, 2016. https://doi.org/10.15276/eltecs.22.98.2016.48

A. Ershov and P. Buklis, “Ways to increase speed and save fuel tanker n storm conditions,” Bulletin of the State Maritime and River Fleet University named after Admiral S.O. Makarov, vol. 10, no. 6, pp. 1122–1131, 2018. https://doi.org/10.21821/2309-5180-2018-10-6-1122-1131

S. Zinchenko, V. Mateichuk, P. Nosov, I. Popovych, O. Solovey, P. Mamenko, and O. Grosheva, “Use of simulator equipment for the development and testing of vessel control systems,” Electrical, Control and Communication Engineering, vol. 16, no. 2, pp. 58–64, Dec. 2020. https://doi.org/10.2478/ecce-2020-0009

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Published

2022-06-01

How to Cite

Zinchenko, S., Tovstokoryi, O., Mateichuk, V., Nosov, P., Popovych, I., & Gritsuk, I. (2022). Automatic Vessel Steering in a Storm. Electrical, Control and Communication Engineering, 18(1), 66-74. https://doi.org/10.2478/ecce-2022-0009