A Study on Ship Manoeuvring Simulation and Ship Trajectory Optimization Based on Sqp and Bfgs Algorithms from Sea Trials

  • Authors

    • Tran Khanh Toan
    • . .
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.36.23324
  • Ship maneuvering, hydrodynamics, parameters identification, ship motion, mathematical programming

  • Abstract

    In this study, a procedure is proposed to optimize the ship’s trajectory by identification of optimal hydrodynamic coefficients from sea trials, which coupled the dynamic ship motion model with optimization techniques. In order to assess efficiently the hydrodynamic parameters, a sensitivity analysis is first per- formed to identify the most sensitive coefficients, then an identification procedure, based on SQP and BFGS algorithms, is carried out to determine optimal hydrodynamic parameters. The validation of this procedure is done for Turning Circle and Zig-Zag tests by using experimental data of sea trials of the Esso Bernicia 193000DWT Tanker model. Comparisons between experimental and computed data show a fair agreement of overall tendency in ship trajectories. The RMSD (Root-Mean-Square Deviation) of ship trajectory decreases from 68.0m to 5.8m in Turning Circle test, and RMSD of yaw angle decreases from 17.3deg to 6.6deg in Zig-Zag test.

     

     

     

  • References

    1. Neves M.A.S., Rodriguez C.A., A coupled non-linear mathematical model of parametric resonance of ships in head seas, Applied Mathematical Modelling 33, pp. 2630-2645 (2009)

      [2] Sutulo S., Moreira L., Soares C.G., Mathematical models for ship path prediction in manoeuvring simulation systems, Ocean Engineering 29, pp. 1-19 (2002)

      [3] Yoshimura Y., Mathematical Model for Manoeuvring Ship Motion, Workshop on Mathematical Models for Operations in-volving Ship-Ship Interaction, Tokyo 2005 (2005)

      [4] Yoon H.K. and Rhee K.P., Identification of hydrodynamic coefficients in ship manoeuvring equations of motion by Estimation-Before-Modeling technique, Ocean Engineering 30, pp. 2379-2404 (2003)

      [5] Viviani M., Bonvino C.P., Depascale R., Conti F. and Soave M., Identification of Hydrodynamic Coefficients from Standard Manoeuvres for a Series of Twin-Screw Ships, 2nd International Conference on Marine Research and Transportation (ICMRT’07), Italia, pp. 99-108 (2007)

      [6] Rajesh G. and Bhattacharyya S.K., System identification for nonlinear manoeuvring of large tankers using artificial neural network, Applied Ocean Research 30, pp. 256-263 (2008)

      [7] Obreja D., Nabergoj R., Crudu L., Pacuraru-Popoiu S., Identification of hydrodynamic coefficients for manoeuvring simulation model of a fishing vessel, Ocean Engineering 37, pp. 678-687 (2010)

      [8] Zhang X.G. and Zou Z.J., Identification of Abkowitz model for ship manoeuvring motion using E-support vector regression, Journal of Hydrodynamics, pp. 353-360 (2011)

      [9] Seo M.G. and Kim Y., Numerical analysis on ship maneuvering coupled with ship motion in waves, Ocean Engineering, Vol.38, N17-18, pp.1934 - 1945 (2011)

      [10] Fossen T.I., Guidance and Control of Ocean Vehicles, John Wiley&Sons, 448 pages (1994)

      [11] Antoniou A. and Lu W.S., Practical Optimization: Algorithms and Enginnering Applications, Springer, 202 pages (2007)

      [12] Zhang J. and Zhang X., A robust SQP method for optimization with inequality constraints, Journal of Computational Mathematics, Vol. 21, No. 2, pp. 247-256 (2003)

      [13] Dai Y.H., Convergence properties of the BFGS algorithm, Society for Industrial and Applied Mathematics, SIAM J.OPTIM, Vol. 13, No. 3, pp. 693-701 (2002)

      [14] Bertram V., Pratical Ship Hydrodynamics, Butterworth-Heinemann, 270 pages (2000)

      [15] Lopez E., Velasco F.J., Moyano E. and Rueda T.M., Full-sacale maneuvering trials simulation, Journal of Maritime Research-JMR, Vol.I, No. 3, pp.37-50 (2004)

      [16] Clarke, D.; Patterson, D.R.; Vfooderson, R.K., Manoeuvring trials with the 193,000 tonne deadweight tanker â€Esso Berniciaâ€., Paper: Spring Meeting of the Royal Inst, of Naval Architects, No. 10, 14 (1972)

      [17] Kreuzer E., Pick M.A., Dynamics of Ship Motion, PAMM Proc. Appl. Math. Mech. 3, 84-87 (2003) / DO 10.1002/pamm.20031032

  • Downloads

  • How to Cite

    Khanh Toan, T., & ., . (2018). A Study on Ship Manoeuvring Simulation and Ship Trajectory Optimization Based on Sqp and Bfgs Algorithms from Sea Trials. International Journal of Engineering & Technology, 7(4.36), 103-111. https://doi.org/10.14419/ijet.v7i4.36.23324

    Received date: 2018-12-07

    Accepted date: 2018-12-07

    Published date: 2018-12-09