Intelligent Ship Control System

ABSTRACT: The article present intelligent control system of ship motion in situations threatening with collision. The goal of the presented system is to support the navigator in decision making, with possible full replacement of his work in the future. In this article, it was introduced system joins work of three computer techniques, evolutionary algorithms to marking of optimum path of passages, fuzzy logic to control ship after set path of passage and multivariable robust control to precise movement of the vessel with very small velocity and any drift angle. Introduced system has to assure safe trip of ship in each navigational conditions with regard of weather conditions and met navigational objects of static or dynamic nature. For testing of the operation the system, the marine environment simulator was used to present navigational situations in a 3D graphical mode at the poor hydro- and meteorological conditions.

KEYWORDS: Ship's Motion, Decision Making Method, Integration of Navigation, Ship Control System, Intelligent Ship, Computer Techniques, Evolutionary Algorithms, Fuzzy Logic

REFERENCES

Balas, G.J., J.C. Doyle, K. Glover, A.Packard and R. Smith 2001. fi-Analysis and Sythesis Toolbox. Ver.4. The Mathworks Inc. Natick, USA.

Gierusz, W. 2006. The steering of the ship motion: a -synthesis approach. Archives of Control Sciences 16, 5-27.

Gierusz, W. and M. Tomera 2006. Logic thrust allocation applied to multivariable control of the training ship. Control Engineer-ing Practice 14, 511-524.

Łebkowski A., Śmierzchalski R., 2003a. Evolutionary-fuzzy Hybrid System of Steering the Moveable Object in Dynamic Environment, IFAC Conference Control Application in Marine Systems, Girona Spain.

Łebkowski A., Śmierzchalski R., 2003b. Hybrid System of Safe Ship Steering in a Collision Situation at Sea, VI Krajowa Konferencja Algorytmy Ewolucyjne i Optymalizacja Glo¬balna, ?agów.

Łebkowski A., Dziedzicki K., Tobiasz M., Tomera M., Śmierzchalski R., 2005. A Marine Environment Simulator for Testing Ship Intelligent Control Systems in Dangerous Situations, Conference Advanced Computer Systems, E?k, Poland.

Mamdani B.E., 1974. Application of Fuzzy Algorithms for Control of Simple Dynamic Plant, proceedings of the IEE, vol. 121, no.12.

Soares C.G., Teixeira A.P., 2001. Risk Assessment in Maritime Transportation, Reliability, Engineering and System Safety 74 pp.299-309.

Śmierzchalski R., 1999. The Decision Support System to Design the Safe Manoeuvre Avoiding Collision at Sea, 3rd World Multiconference on Systemics, Cybernetics and Informatics, USA, Orlando pp. 1124-1130.

Śmierzchalski R., Michalewicz Z., 2000. Modelling of a Ship Trajectory in Collision Situations at Sea by Evolutionary Algorithm, Journal of IEEE Transaction on Evolutionary Computation No. 3, Vol.4, pp.227-241.

Śmierzchalski R., 2003. Evolutionary algorithm in problem of avoidance collision at sea. Artificial Intelligence and Security in Computing Systems, Kluwer Academic Publishers, pp. 81 – 90.

Śmierzchalski R., Łebkowski A., 2003. Hybrid System of Safe Ship Steering at Sea, IEEE International Conference on Methods and Models in Automation and Robotics, Mi?dzyzdroje Poland.

World Shipbuilding and Maritime Casualties”, www.isl.org.

Citation note:

Łebkowski A., Śmierzchalski R., Gierusz W., Dziedzicki K.: Intelligent Ship Control System. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 2, No. 1, pp. 63-68, 2008

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Andrzej Łebkowski: ORCID iD icon

orcid.org/0000-0002-0210-5442 Scopus icon