MATHEMATICAL AND INFORMATION PROVISIONS OF BRIDGE TEAM TRAINING CONTROL SYSTEMS
DOI:
https://doi.org/10.18372/1990-5548.60.13816Keywords:
Simulator training, bridge team, preliminary route plan, optimal route, full-mission bridge, exercise scenario, decision making, optimal controlAbstract
Despite considerable efforts and resources, expended on soft-, hardware and organizational facilities for navigators’ development, it is required to increase the level of navigators’ skills, familiarize them with the functions and limitations of ship’s equipment. Building a harmonized cooperation between the members of bridge team is one of the most important tasks even for the well-educated and skilled in ship handling officers. A problem of sea transportation safety improvement through increased quality of navigators’ simulator training is considered in current article. A critical review of IMO model courses and their use for the tasks of navigators’ simulator training was performed. These recommendations pursue the purpose of standardization and unifying the bridge team training in accordance with STCW 1978/ 2010 convention. The main navigational tasks were classified, their formalized form end solutions represented. Because time constant and time of delay do not depend on the decision’s responsibility level, it is possible to consider them as the characteristics of a definite Bridge Team member. These descriptions are determined by the simple experiments of reaction on the known signals and it is possible to get the model of Bridge Team behavior depending on the decision-making risks and external indignations. It was suggested to use safe sailing probability function as the criterion of navigator’s competence. The essential point in the article is the transition from partial criteria for evaluating the navigators’ work to the assessment of the average risk as a single criterion, which makes it possible to assess objectively the prospects of using a definite vessel crew. The implementation of a risk minimization strategy leads to a sequence of steps which allows to achieve an optimally safe trajectory. It was suggested to use Pontryagin’s maximum principle on an optimum route plan, thus the task turned to the standard task of optimum operation speed of the linear system. A structure of optimal solution for bridge team simulator training is defined. A training complex structure consisting of visualization complex, where an external situation is designed, Bridge Team members’ workplaces, data bases of vessels’ dynamics models, navigation database, bases of indignations models and instructor’s workplace was suggested.
References
TRANSAS Navi-Planner 4000. User manual, 2013.
Ministry of infrastructure of Ukraine. Order 10/07/2014 no. 491 “On the approval of requirements for training and other equipment designed to prepare and test the knowledge of the officers and the crew”. [Online] Available: https://zakon.rada.gov.ua/laws/show/z1325-14 (in Ukrainian)
IMO model course 1.22 “Ship Simulator and Bridge Teamwork,” IMO, London, 2002, 70 p.
IMO model course 7.03 “Officer in charge of and navigational watch”. IMO, London, 2014, 275 p.
Ministry of infrastructure of Ukraine. Order 10/07/2014 № 491 “Requirements for training and other equipment designed to prepare and test knowledge navigators on full-scale navigation simulators with visualization.” [Online] Available: https://zakon.rada.gov.ua/laws/show/z1330-14
A. Weintrit, “Marine Navigation and Safety of Sea Transportation. Advances in Marine Navigation,” Taylor & Francis Group, London, UK, 2013.
ISBN: 978-1-315-88301-4 (eBook)
T. Perez and T. I. Fossen, “A Matlab Toolbox for Parametric Identification of Radiation-Force Models of Ships and Offshore Structures,” Modeling, Identification and Control” MIC-30(1), 1–15, 2009. DOI:10.4173/mic.2009.1.1 Available: http://www.mic-journal.no/ABS/MIC-2009-1-1.asp
D. H. Weir and D. T. McRuer, “Models for Steering Control of Motor Vehicles,” Proc. 4th Annual NASA, 1968.
A. D. Ustyuzhanin and K.A. Pupkov, Dynamic identification and assessment of the state of a human operator in “man-machine” systems, Moscow, PFUR, 2011. ISBN 978-5-209-03604-3 (in Russian)
K. A. Emets, N. M. Gruzdev, E. S. Borodin, and V. N. Kostin, Sea tables (MT-2000), St. Petersburg: GUNiO MO, 2002. (in Russian)
Yu. P. Petrov, Optimal control of Vehicle traffic, Leningrad: Energy, 1969. (in Russian)
T. I. Fossen, Handbook of marine craft hydrodynamics and motion control. 1nd ed., John Wiley & Sons Ltd, 2011. ISBN:978-1-119-99149-6.
DOI:10.1002/9781119994138
A. A. Krasovskiy, Automatic control theory handbook, Moscow: Main edition of the physical and mathematical literature, 1987. (in Russian)
Yu. P. Petrov, Optimal shipboard power regulators (theoretical basis), Leningrad: Publishing house "Shipbuilding", 1966. (in Russian)
Yu. P. Petrov, Synthesis of optimal control systems with incompletely known perturbing forces, Leningrad: Publishing House of the Leningrad University, 1987. 292 p. (in Russian)
L. S. Pontryagin, V.G. Boltyansky, E. F. Mishchenko, and R. V. Gamkrelndze, Mathematical theory of optimal processes, 4th ed. Moscow: Science, Main edition of the physical and mathematical literature, 1983. (in Russian)
Ray, W. Harmon (Willis Harmon), Advanced process control, New York: McGraw-Hill, 1981. 376 p. ISBN: 978-0070512504
V. A. Tkach, P. V. Kashtalyan, and S. A. Rozhkov, “Monitoring and Control Systems of Modem Intellectual Interfaces,” 4th international Conference on Method and System of navigation and Motion Control (MSNMC) Proceedings, 2016, pp. 237–240.
DOI: 10.1109/MSNMC.2016.7783151
Downloads
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).