Ship Trajectory Control Optimization in Anti-collision Maneuvering

ABSTRACT: A lot of attentions are being paid to ship's intelligent anti-collision by researchers. Several solutions have been introduced to find an optimum trajectory for ship, such as Game Theory, Genetic or Evolutionary Algorithms and so on. However, ship's maneuverability should be taken into consideration before their real applications. This paper focuses on ship's trajectory control problem in anti-collision maneuvering. At first, a simple linear ship maneuverability model is introduced to simulate its movement under different speed and rudder angle. After that, ship's trajectory control is studied by considering the duration of rudder, operation distance to turning points, and maximum angular velocity. The details for algorithm design are also introduced. By giving some restrictions according to the requirements from COLREGs, the intervals for rudder angle in different circumstances can be determined by the curves. The results can give very meaningful guidance for seafarers when making decisions.

KEYWORDS: Game Theory, Anti-Collision, Colregs, Ship's Trajectory, Evolutionary Algorithms, Route Optimization, Anti-Collision Maneuvering, Genetic Algorithm (GA)

REFERENCES

Fossen, T., Breivik, M., & Skjetne, R. 2003, Line-of-sight path following of underactuated marine craft, Maneuvering and Control of Marine Crafts, Proc. intern. conf., 2003. Girona, Spain.

Lin, F., Shen, P., & Hsu, S. 2000, Adaptive back-stepping sliding mode control for linear induction motor. IEEE Proceedings Electric Power Application 14(9): 184-194.

Michael, R., John, J., Joseph A. & Paul M. 2006, A method for protocol-based collision avoidance between marine surface crafts, Journal of Field Robotics 23(5): 333-346.

Nomoto, K., Taguchi, T., Honda, K. & Hirano, S. 1957, On the steering qualities of ships. Technical report, International shipbuilding progress 4(35).

Shih, C., Huang, P., Yamamura, S. & Chen, C. 2012, Design optimal control of ship maneuver patterns for collision avoidance: a review, Journal of Marine Science and Technology 20(2): 111-121.

Smierzchalski, R. 1999, An intelligent method of ship's trajectory planning at sea, Intelligent Transportation Systems, Proc. intern. conf., 1999.

Smierzchalski, R., Michalewicz, Z. 2000, Modeling of ship trajectory in collision situations by an evolutionary algorithm, IEEE Transactions on Evolutionary Computation 4(3): 227-241.

Soda T., Shiotani S., Makino H., Shimada Y.: Research on Ship Navigation in Numerical Simulation of Weather and Ocean in a Bay. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 6, No. 1, pp. 19-25, 2012

Szlapczynski, R. & Szlapczynska, J. 2011, COLREGs compliance in evolutionary sets of cooperating ship trajectories, Computational collective intelligence: technologies and applications - Volume Part II Proc. intern. conf., Germany, 2011. Berlin, Heidelberg.

Wang, L., & Zhang, X. 2011, Ship course-changing and course-keeping based on robust fuzzy control, Navigation of China 34(2): 1-4. (in Chinese)

Yuan, L., & Wu, H. 2011, Simulation and design of fuzzy sliding-mode controller for ship heading-tracking, Journal of Marine Science and Applications 10: 76-81.

Zhang, X., & Jia, X. 2002, Simplification of H(mixed) sensitivity algorithm and its application. Automatic Control and Computer Sciences, 36(3): 28 -33.

Citation note:

Zhang J.F., Yan X.P., Zhang D., Haugen S.: Ship Trajectory Control Optimization in Anti-collision Maneuvering. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 7, No. 1, doi:10.12716/1001.07.01.11, pp. 89-93, 2013

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