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[期刊论文]

Parameter identification of ship maneuvering model based on support vector machines and particle swarm optimization

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author:

Luo, W. (Luo, W..) [1] | Guedes, Soares, C. (Guedes, Soares, C..) [2] | Zou, Z. (Zou, Z..) [3]

Indexed by:

Scopus

Abstract:

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.

Keyword:

Parameter drift; Parameter identification; Particle swarm optimization; Ship maneuverability; Support vector machines

Community:

  • [ 1 ] [Luo, W.]Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Lisbon, 1049-001, Portugal
  • [ 2 ] [Luo, W.]College of Mechanical Engineering and Automation, Fuzhou University, Fujian, 350108, China
  • [ 3 ] [Guedes Soares, C.]Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Lisbon, 1049-001, Portugal
  • [ 4 ] [Zou, Z.]School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

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Source :

Journal of Offshore Mechanics and Arctic Engineering

ISSN: 0892-7219

Year: 2016

Issue: 3

Volume: 138

0 . 9 9 3

JCR@2016

1 . 3 0 0

JCR@2023

ESI HC Threshold:177

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

30 Days PV: 0

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