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Multi-objective weather routing of sailboats considering wave resistance

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents a method to determine the route of a sailing vessel with the aid of deterministic algorithms. The method assumes that the area in which the route is to be determined is limited and the basic input data comprise the wind vector and the speed characteristic of the vessel. Compared to previous works of the authors, the present article additionally takes into account the effect of sea waves with the resultant resistance increase on the vessel speed. This approach brings the proposed model closer to real behaviour of a sailing vessel. The result returned by the method is the sailing route, optimised based on the multi-criteria objective function. Along with the time criterion, this function also takes into account comfort of voyage and the number of performed turns. The developed method has been implemented as simulation application SaillingAssistance and experimentally verified.
Słowa kluczowe
Rocznik
Tom
Strony
4--12
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
  • Gdańsk University of Technology 11/12 Narutowicza St. 80 - 233 Gdańsk Poland
autor
  • Gdynia Maritime University, Poland
  • Gdańsk University of Technology 11/12 Narutowicza St. 80 - 233 Gdańsk Poland
Bibliografia
  • 1. Bijlsma, S.J.: Minimal Time Route Computation for Ships with Pre-Specified Voyage Fuel Consumption, J. Navig. 61 (2008) 723–733.
  • 2. Dębski, R.: An adaptive multi-spline refinement algorithm in simulation based sailboat trajectory optimization using onboard multi-core computer systems, Int. J. Appl. Math. Comput. Sci. 26 (2016) 351–365.
  • 3. Gao, M., G. Shi, W. Li, Y. Wang, D. Liu: ScienceDirect An improved genetic algorithm for island route planning, Procedia Eng. 174 (2017) 433–441.
  • 4. Gerritsma, J., J.A. Keuning, R. Onnink: The Delft Systematic Yacht Hull Series II Experiments, 1990.
  • 5. James, R.W.: APPLICATION OF WAVE FORECASTS TO MARINE NAVIGATION, (1957).
  • 6. Krata, P., J. Szlapczynska: Ship weather routing optimization with dynamic constraints based on reliable synchronous roll prediction, Ocean Eng. 150 (2018) 124–137.
  • 7. Krata, P., J. Szłapczyńska: Weather Hazard Avoidance in Modeling Safety of Motor-Driven Ship for Multicriteria Weather Routing, TransNav. 6 (2012) 71–78.
  • 8. Krata, P., W. Wawrzyński: On ship roll resonance frequency, Ocean Eng. 126 (2016) 92–114.
  • 9. Krata, P., W. Wawrzyński: Prediction of Ship Resonant Rolling - Related Dangerous Zones with Regard to the Equivalent Metacentric Height Governing Natural Frequency of Roll, TransNav, Int. J. Mar. Navig. Saf. Sea Transp. 11 (2017).
  • 10. Langbein, J., R. Stelzer, T. Frühwirth: A Rule-Based Approach to Long-Term Routing for Autonomous Sailboats, in: Robot. Sail., Springer Berlin Heidelberg, Berlin, Heidelberg, 2011: pp. 195–204.
  • 11. Lazarowska, A.: Multi-criteria ACO-based Algorithm for Ships Trajectory Planning, TransNav, Int. J. Mar. Navig. Saf. Sea Transp. 11 (2017) 31–36.
  • 12. Lisowski, J.: ScienceDirect Computational intelligence methods of a safe ship control, Procedia - Procedia Comput. Sci. 35 (2014) 634–643.
  • 13. Lisowski, J.: THE SENSITIVITY OF STATE DIFFERENTIAL GAME VESSEL TRAFFIC MODEL, POLISH Marit. Res. 2 (2016) 14–18.
  • 14. Mannarini, G., G. Coppini, P. Oddo, N. Pinardi: A Prototype of Ship Routing Decision Support System for an Operational Oceanographic Service, TransNav, Int. J. Mar. Navig. Saf. Sea Transp. 7 (2013) 53–59.
  • 15. Naus, K., M. Wąż: The idea of using the A* algorithm for route planning an unmanned vehicle “Edredon,” Zesz. Nauk. / Akad. Morska W Szczecinie. (2013) 143--147.
  • 16. Neumann, T.: Method of Path Selection in the Graph - Case Study, TransNav, Int. J. Mar. Navig. Saf. Sea Transp. 8 (2014) 557–562.
  • 17. Niklas, K., J. Kozak: Experimental investigation of SteelConcrete-Polymer composite barrier for the ship internal tank construction, Ocean Eng. 111 (2016) 449–460.
  • 18. Philpott, A., A. Mason: Optimising yacht routes under uncertainty, Proc. 15th Chesap. Sail. Yacht Symp. Annapolis, MD. (2001).
  • 19. Philpott, a B., I.M. Viola, R.G.J. Flay: Optimal Yacht Routing Tactics, Innovsail. (2013) 231–237.
  • 20. Salvesen, N., E. Tuck, O. Faltinsen: Vessel motions and sea loads, Trans. SNAME. 78 (1970) 250–287.
  • 21. Specht, C., A. Weintrit, M. Specht, Y. Wo: A History of Maritime Radio- Navigation Positioning Systems used in Poland, (2017).
  • 22. Stelzer, R., K. Jafarmadar: The robotic sailing boat asv roboat as a maritime research platform, Proc. 22nd Int. HISWA Symp. Yacht Des. Yacht Constr. (2012).
  • 23. Szłapczynska, J.: Multi-objective Weather Routing with Customised Criteria and Constraints, J. Navig. 68 (2015) 338–354.
  • 24. Szłapczyński, R., M. Życzkowski: Multi-objective weather routing of sailing vessels, Polish Marit. Res. 24 (2017) 10–17.
  • 25. Tagliaferri, F., I.M. Viola: A real-time strategy-decision program for sailing yacht races, (2017).
  • 26. Wawrzyński, W., P. Krata: METHOD FOR SHIP’S ROLLING PERIOD PREDICTION WITH REGARD TO NON-LINEARITY OF GZ CURVE, J. Theor. Appl. Mech. 54 (2016) 1329–1343.
  • 27. Weintrit, A., P. Kopacz: Computational Algorithms Implemented in Marine Navigation Electronic Systems, in: Springer, Berlin, Heidelberg, 2012: pp. 148–158.
  • 28. Wiśniewski, B.: Programowanie tras statków na oceanach, Zesz. Nauk. / Akad. Morska W Szczecinie. 29 (2012) 164–173.
  • 29. Życzkowski, M.: Sailing Vessel Routing Considering Safety Zone and Penalty Time for Altering Course, TransNav, Int. J. Mar. Navig. Saf. Sea Transp. 11 (2017) 49–54.
  • 30. MAXSURF Design & Analysis Software - Home, (2017).
  • 31. ORC - World Leader in Rating Technology, (2017).
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ff640260-df80-467e-80a0-976855b9ef14
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