Wave Filtering of Ship Dynamic Positioning System Using Particle Filter

Wen Juan Li; Hai Xiang Xu; Hui Feng

doi:10.4028/www.scientific.net/AMM.397-400.551

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400Wave Filtering of Ship Dynamic Positioning System...

Wave Filtering of Ship Dynamic Positioning System Using Particle Filter

Abstract:

This paper presents a nonlinear filter which is particle filter. The filter produces accurate estimates of low-frequency position and velocity only from measured values of ship position and heading in Dynamic Positioning System. The results of simulation confirm the validity and adaptability of the particle filter algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

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551-555

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https://doi.org/10.4028/www.scientific.net/AMM.397-400.551

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Online since:

September 2013

Authors:

Wen Juan Li, Hai Xiang Xu, Hui Feng

Keywords:

Dynamic Positioning System, Nonlinear, Particle Filter (PF)

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References

[1] Balchen J G, Jenssen N A. Dynamic positioning using Kalman Filtering and Optimal Control theory. In the IFAC/IFIP Symposium On Automation in Offshore Oil Filed Operation(1976).

Google Scholar

[2] Fossen T I. Marine Control Systems: Guidance, Navigation and Control of Ships Rigs and Underwater Vehicles (Trondheim, Marine Cybernetics, 2002).

Google Scholar

[3] Kalman R E. A New Approach to Linear Filtering and Prediction Problems. Basic Engineering. Vol. 82(1960), pp.35-45.

DOI: 10.1115/1.3662552

Google Scholar

[4] Saelid S, Jenssen N A, Balcnen J G. Design and Analysis of a Dynamic Positioning System Base on Kalman filtering and Optimal Control. IEEE Trans . Vol. 28(1983), pp.331-338.

DOI: 10.1109/tac.1983.1103225

Google Scholar

[5] Fossen T I, Perez T. Kalman Filtering for Positioning and Heading Control of Ships and Offshore Rigs. IEEE Control Systems. Vol29. (2009), pp.32-46.

DOI: 10.1109/mcs.2009.934408

Google Scholar

[6] Grimble M J. Relationship between Kalman and Notch Filters used in Dynamic Ship Positioning Systems. Electronics Letters. Vol. 14(1978), pp.399-400.

DOI: 10.1049/el:19780269

Google Scholar

[7] Fung P , Grimble M. Dynamic Ship Positioning using a Self-tuning Kalman Filter. IEEE Transactions on Automatic Control. Vol. 28(1983), pp.339-350.

DOI: 10.1109/tac.1983.1103226

Google Scholar

[8] Fossen T I, Strand J P. Passive Nonlinear Observer Design for ships Using Lyapunov Mehods: Experimental Results with a Supply Vessel. Automatica. Vol. 35(1999), pp.3-16.

DOI: 10.1016/s0005-1098(98)00121-6

Google Scholar

[9] Soto A. Self Adaptive Particle Filter. Proceedings of International Joint Conference on Artificial Intelligence. Edinburgh, Scotland: Professional Book Center(2005), pp.1398-1406.

Google Scholar

[10] Gerasiomos G.R. Sensor fusion-based dynamic positioning of ships using Extended Kalman and Particle Filtering. Combridge University Press(2012), pp.1-15.

Google Scholar