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Volume 39 Issue 11
Nov.  2013
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Journal of Beijing University of Aeronautics and Astronautics  > 2013  >  39(11): 1553-1557.
Zhang Hongwei, Zhang Yidu, Zhao Xiaoci, et al. Key techniques in simulation of machining distortion for aeronautical monolithic component[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(02): 239-243. (in Chinese)
Citation: Xu Feng, Zou Zaojian, Xu Xiaoka, et al. Black-box modeling of ship manoeuvring motion based on support vector machines[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1553-1557. (in Chinese)
shu

Black-box modeling of ship manoeuvring motion based on support vector machines

  • 1.

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

  • 2. Key Laboratory of Underwater Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

  • Received Date: 14 Dec 2012
  • Publish Date: 30 Nov 2013
    Abstract
  • Least square support vector machines(LS-SVM) was applied to black-box modeling of ship manoeuvring motion by using the 15°/5° zigzag test data of free-running model. To solve the problem of the uncertainty in choosing the parameters of SVM, grid search method was adopted for parameter optimization. The established model was used for predicting the 10°/1° and 25°/5° zigzag manoeuvres and 35° turning circle manoeuvre. The prediction results are in good agreement with the test data, which demonstrates the validity of LS-SVM in black-box modeling of ship maneuvering motion and the feasibility of grid search method in optimizing the parameters of SVM.

     

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    • References(12)
  • [1]
    Haddara M R, Wang Y.Parametric identification of maneuvering models for ships[J].International Shipbuilding Progress, 1999, 46 (445):5-27
    [2]
    Mahfouz A B, Haddara M R.Effects of the damping and excitation on the identification of the hydrodynamic parameters for an underwater robotic vehicle[J].Ocean Engineering, 2003, 30 (8):1005-1025
    [3]
    Hess D, Faller W, Minnick L, et al.Maneuvering simulation of Sea Fighter using a fast nonlinear time domain technique[C]//9th International Conference on Numerical Ship Hydrodynamics.Michigan:University of Michigan, 2007
    [4]
    Hess D, Faller W, Lee J.Real-time nonlinear simulation of maneuvers for US navy combatant DTMB 5415[C]//SIMMAN 2008, Workshop on Verification and Validation of Ship Manoeuvring Simulation Methods, 2008
    [5]
    Luo W L, Zou Z J.Parametric identification of ship maneuvering models by using support vector machines[J].Journal of Ship Research, 2009, 53 (1):19-30
    [6]
    Luo W L, Zou Z J, Li T S.Application of support vector machine to ship steering[J].Journal of Shanghai Jiao Tong University:Science Edition, 2009, 14 (4):462-466
    [7]
    Vapnik V N.The nature of statistical learning theory[M].2nd ed.New York:Springer, 1999
    [8]
    李殿璞.船舶运动与建模[M].北京:国防工业出版社, 2008 Li Dianpu.Ship motion and modeling[M].Beijing:National Defense Industry Press, 2008 (in Chinese)
    [9]
    祁亨年.支持向量机及其应用研究综述[J].计算机工程, 2004, 30 (10):6-9 Qi Hengnian.Support vector machines and application research overview[J].Computer Engineering, 2004, 30 (10):6-9 (in Chinese)
    [10]
    Suykens J A, Vandewalle J, De Moor B.Optimal control by least squares support vector machines[J].Neural Networks, 2001, 14 (1):23-35
    [11]
    史峰, 王小川, 郁磊, 等.MATLAB神经网络30个案例分析[M].北京:北京航空航天大学出版社, 2010 Shi Feng, Wang Xiaochuan, Yu Lei, et al.MATLAB neural network analysis of 30 cases[M].Beijing:Beijing University of Aeronautics & Astronautics Press, 2010 (in Chinese)
    [12]
    SIMMAN 2008.Workshop on verification and validation of ship manoeuvring simulation methods.Copenhagen: [C/OL], 2008-04.
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