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


  • Tran Khanh Toan
  • . .






Ship maneuvering, hydrodynamics, parameters identification, ship motion, mathematical programming


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.





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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 2018-12-07
Accepted 2018-12-07
Published 2018-12-09