The method of system based manoeuvring simulation provides an effective way to predict ship manoeuvrability. Accurate determination of the hydrodynamic derivatives in the mathematical model of ship manoeuvring motion is vital to the prediction accuracy. A support vector machines (SVM) based approach is proposed in this paper. By analyzing the data from free-running model tests of KVLCC2 ship, the hydrodynamic derivatives in an Abkowitz model are identified. To diminish the parameter drift in the identification, a difference method is adopted to reconstruct the sample for identification. To obtain the optimized structural parameters in SVM, particle swarm optimization (PSO) method is incorporated into SVM. Predictions of manoeuvring motion are presented based on the regression model. Comparisons between the predicted results and the test results demonstrate the validity of the proposed methods.
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ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering
June 9–14, 2013
Nantes, France
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-5539-3
PROCEEDINGS PAPER
Parameter Identification of Ship Manoeuvring Model Based on Particle Swarm Optimization and Support Vector Machines Available to Purchase
Weilin Luo,
Weilin Luo
Technical University of Lisbon, Lisbon, Portugal
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Carlos Guedes Soares,
Carlos Guedes Soares
Technical University of Lisbon, Lisbon, Portugal
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Zaojian Zou
Zaojian Zou
Shanghai Jiao Tong University, Shanghai, China
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Weilin Luo
Technical University of Lisbon, Lisbon, Portugal
Carlos Guedes Soares
Technical University of Lisbon, Lisbon, Portugal
Zaojian Zou
Shanghai Jiao Tong University, Shanghai, China
Paper No:
OMAE2013-11078, V005T06A071; 7 pages
Published Online:
November 26, 2013
Citation
Luo, W, Guedes Soares, C, & Zou, Z. "Parameter Identification of Ship Manoeuvring Model Based on Particle Swarm Optimization and Support Vector Machines." Proceedings of the ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 5: Ocean Engineering. Nantes, France. June 9–14, 2013. V005T06A071. ASME. https://doi.org/10.1115/OMAE2013-11078
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