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Research Papers: Ocean Engineering

Parameter Identification of Ship Maneuvering Model Based on Support Vector Machines and Particle Swarm Optimization

[+] Author and Article Information
Weilin Luo

Centre for Marine Technology and
Ocean Engineering (CENTEC),
Instituto Superior Técnico,
Universidade de Lisboa,
Lisbon 1049-001, Portugal;
College of Mechanical
Engineering and Automation,
Fuzhou University,
Fujian 350108, China

C. Guedes Soares

Centre for Marine Technology and
Ocean Engineering (CENTEC),
Instituto Superior Técnico,
Universidade de Lisboa,
Lisbon 1049-001, Portugal
e-mail: c.guedes.soares@centec.tecnico.ulisboa.pt

Zaojian Zou

School of Naval Architecture,
Ocean and Civil Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China

1Corresponding author.

Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received March 30, 2013; final manuscript received January 21, 2016; published online April 6, 2016. Editor: Solomon Yim.

J. Offshore Mech. Arct. Eng 138(3), 031101 (Apr 06, 2016) (8 pages) Paper No: OMAE-13-1028; doi: 10.1115/1.4032892 History: Received March 30, 2013; Revised January 21, 2016

Combined with the free-running model tests of KVLCC ship, the system identification (SI) based on support vector machines (SVM) is proposed for the prediction of ship maneuvering motion. The hydrodynamic derivatives in an Abkowitz model are determined by the Lagrangian factors and the support vectors in the SVM regression model. To obtain the optimized structural factors in SVM, particle swarm optimization (PSO) is incorporated into SVM. To diminish the drift of hydrodynamic derivatives after regression, a difference method is adopted to reconstruct the training samples before identification. The validity of the difference method is verified by correlation analysis. Based on the Abkowitz mathematical model, the simulation of ship maneuvering motion is conducted. Comparison between the predicted results and the test results demonstrates the validity of the proposed methods in this paper.

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Figures

Grahic Jump Location
Fig. 1

Coordinate system of ship maneuvering motion

Grahic Jump Location
Fig. 2

Framework of SVM regression

Grahic Jump Location
Fig. 3

Hull, propeller, and rudder profiles of KVLCC ships

Grahic Jump Location
Fig. 5

Prediction of 25 deg/5 deg zigzag maneuver

Grahic Jump Location
Fig. 6

Prediction of 35 deg/5 deg zigzag maneuver

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