Ship Dynamic Positioning Control Research Using the Improved SAM Based on ACA

Xiao Lu Su

doi:10.4028/www.scientific.net/AMM.475-476.598

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 475-476Ship Dynamic Positioning Control Research Using...

Ship Dynamic Positioning Control Research Using the Improved SAM Based on ACA

Abstract:

In fuzzy system, the selection of fuzzy rules is difficult. For the whole system, the merits of the rules seriously influence the final result. This paper uses the ant colony algorithm (ACA) to optimize the weights of the rules in the standard additive fuzzy system. At present, the ship dynamic positioning system has caused wide public concern. In the paper, a ship dynamic positioning controller based on the ACA and the standard additive model is proposed. Through the new controller is applied to control the dynamic positioning ship in the complex sea conditions, the results show that the proposed controller is effective.

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Periodical:

Applied Mechanics and Materials (Volumes 475-476)

Pages:

598-602

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.475-476.598

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Online since:

December 2013

Authors:

Xiao Lu Su*

Keywords:

Ant Colony Algorithm, Improved SAM, Ship Dynamic Positioning, Standard Additive Model, Weight Optimization

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* - Corresponding Author

References

[1] J. Selkainaho. Tuning a dynamic position system. Automatic. 29 (1993) 865-875.

Google Scholar

[2] Det Norske Veritas (DNV). Rules and regulations of ships new buildings Special Equipment and Systems Additional class, part6, chapter7: Dynamic Positioning Systems. Norway，(2011).

DOI: 10.3940/rina.mre.2010.01

Google Scholar

[3] American Bureau of Shiping(ABS). Guide for dynamic positioning systems. New York: American Bureau of Shipping, (2012).

Google Scholar

[4] Donaire A，Perez T. Dynamic positioning of marine craft using a port-Hamiltonian framework. Automatica. 48(2012), 851-856.

DOI: 10.1016/j.automatica.2012.02.022

Google Scholar

[5] J. L. Chen, W. X. Zhu. Ant colony algorithms for fuzzy rules optimization. Com. Eng. and App. 43(2007) 113-115. (In Chinese).

Google Scholar

[6] Y.L. Xing, X. He, S.Y. Sun. Optimization design of fuzzy controller based on improved ant colony algorithm. Com. Sim. 29(2012) 131-134, 142. (In Chinese).

Google Scholar

[7] S.M. Song, Z.Y. Song. Filtering fuzzy control rules based on ant colony algorithm. Com. Sim. 23(2006) 157-163. (In Chinese).

Google Scholar

[8] Y. He. Parameter optimization of a fuzzy controller based on the ant colony algorithm. Tec. of Aut. & App. 26(2007) 14-16. (In Chinese).

Google Scholar