Journal is indexed in following databases:



2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7



HomePage
 




 


 

ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Control of Electric Drive Tugboat Autonomous Formation
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The automation of maritime transport is an indispensable trend towards full autonomy of maritime vessels. In this paper, an attempt was made to present the control system for port autonomous vessels using an agent system. On the basis of the conducted research, in order to optimize the energy consumption related to the movement of tugboats, the shape of the hull and the shape of the formation in which 4 tugboats are moving were selected. Several scenarios of navigational situations that may take place in port waters have been recognized. The conducted analysis have shown that the optimal shape of the hull of tugboats, the shape of the formation in which they move, as well as the determination of the passage route for the implementation of a specific task, can contribute to reducing both the carbon footprint and the energy consumption of the propulsion systems of tugboats. This is of significant importance in terms of reducing exhaust gas emissions in and around ports.
REFERENCES
Vos, J. de; Hekkenberg, R.G.; Valdez Banda, O.A. The Impact of Autonomous Ships on Safety at Sea – A Statistical Analysis. Reliability Engineering & System Safety 2021, 210, 107558, doi:10.1016/j.ress.2021.107558. - doi:10.1016/j.ress.2021.107558
Krell, E.; King, S.A.; Garcia Carrillo, L.R. Autonomous Surface Vehicle energy-efficient and reward-based path planning using Particle Swarm Optimization and Visibility Graphs. Applied Ocean Research 2022, 122, 103125, doi:10.1016/j.apor.2022.103125. - doi:10.1016/j.apor.2022.103125
Mayflower Autonomous Ship. Available online: https://mas400.com (accessed on 20 February 2023).
AutoNaut, wave propelled uncrewed surface vessels. Available online: https://www.autonautusv.com/vessels-0 (accessed on 22 February 2023).
L3Harris. C-Worker 7 ASV. Available online: https://www.l3harris.com/all-capabilities/c-worker-7-asv (accessed on 22 February 2023).
Veettil, B.K.; Hong Quan, N.; Hauser, L.T.; Doan Van, D.; Quang, N.X. Coastal and marine plastic litter monitoring using remote sensing: A review. Estuarine, Coastal and Shelf Science 2022, 279, 108160, doi:10.1016/j.ecss.2022.108160. - doi:10.1016/j.ecss.2022.108160
Choe, Y.; Lee, J.; Jung, W.; Park, J.; Lee, J.; Jho, J.Y.; Lee, K.T.; Kim, T.; Kim, Y.H. Gravity-based oil spill remediation using reduced graphene oxide/LDPE sheet for both light and heavy oils. Process Safety and Environmental Protection 2021, 156, 617–624, doi:10.1016/j.psep.2021.10.045. - doi:10.1016/j.psep.2021.10.045
Przybyłowski, A.; Kałaska, A.; Przybyłowski, P. Quest for a Tool Measuring Urban Quality of Life: ISO 37120 Standard Sustainable Development Indicators. Energies 2022, 15, 2841, doi:10.3390/en15082841. - doi:10.3390/en15082841
Rossi, F.; Bandyopadhyay, S.; Wolf, M.; Pavone, M. Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy. IFAC-PapersOnLine 2018, 51, 112–117, doi:10.1016/j.ifacol.2018.07.097. - doi:10.1016/j.ifacol.2018.07.097
Staniek, M.; Czech, P. Self-correcting neural network in road pavement diagnostics. Automation in Construction 2018, 96, 75–87, doi:10.1016/j.autcon.2018.09.001. - doi:10.1016/j.autcon.2018.09.001
Kaizer, A.; Winiarska, M.; Formela, K.; Neumann, T. Inland Navigation as an Opportunity to Increase the Cargo Capacity of the Tri-City Seaports. Water 2022, 14, 2482, doi:10.3390/w14162482. - doi:10.3390/w14162482
Buc, A.; Bielecka, A.; Iwaszkiewicz, J. The Use of Wireless Networks and Mobile Applications in the Control of Electric Machines. Applied Sciences 2023, 13, 532, doi:10.3390/app13010532. - doi:10.3390/app13010532
Citation note:
Koznowski W., Łebkowski A.: Control of Electric Drive Tugboat Autonomous Formation. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 17, No. 2, doi:10.12716/1001.17.02.16, pp. 391-396, 2023
Authors in other databases:
Wojciech Koznowski:

Other publications of authors:

A. Łebkowski, R. Śmierzchalski, W. Gierusz, K. Dziedzicki

File downloaded 87 times








Important: TransNav.eu cookie usage
The TransNav.eu website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the TransNav.eu website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony