Parametric estimation of ship maneuvering motion with integral sample structure for identification

2015 ◽  
Vol 52 ◽  
pp. 212-221 ◽  
Author(s):  
Cao Jian ◽  
Zhuang Jiayuan ◽  
Xu Feng ◽  
Yin Jianchuan ◽  
Zou Zaojian ◽  
...  
Keyword(s):  
Parametric Estimation ◽  
Ship Maneuvering ◽  
Sample Structure ◽  
Maneuvering Motion

A Nonlinear Mathematical Model for Ship Turning Circle Simulation in Waves

2005 ◽  
Vol 49 (02) ◽  
pp. 69-79 ◽  
Author(s):  
Ming-Chung Fang ◽  
Jhih-Hong Luo ◽  
Ming-Ling Lee
Keyword(s):  
Mathematical Model ◽  
Degrees Of Freedom ◽  
Regular Waves ◽  
Nonlinear Mathematical Model ◽  
Ship Maneuvering ◽  
Sea Trial ◽  
Six Degrees Of Freedom ◽  
Strip Theory ◽  
Calm Water ◽  
Maneuvering Motion

In the paper, a simplified six degrees of freedom mathematical model encompassing calm water maneuvering and traditional seakeeping theories is developed to simulate the ship turning circle test in regular waves. A coordinate system called the horizontal body axes system is used to present equations of maneuvering motion in waves. All corresponding hydrodynamic forces and coefficients for seakeeping are time varying and calculated by strip theory. For simplification, the added mass and damping coefficients are calculated using the constant draft but vary with encounter frequency. The nonlinear mathematical model developed here is successful in simulating the turning circle of a containership in sea trial conditions and can be extended to make the further simulation for the ship maneuvering under control in waves. Manuscript received at SNAME headquarters February 19, 2003; revised manuscript received January 27, 2004.

Kernel-based support vector regression for nonparametric modeling of ship maneuvering motion

2020 ◽  
Vol 216 ◽  
pp. 107994
Author(s):  
Zihao Wang ◽  
Haitong Xu ◽  
Li Xia ◽  
Zaojian Zou ◽  
C. Guedes Soares
Keyword(s):  
Support Vector Regression ◽  
Support Vector ◽  
Nonparametric Modeling ◽  
Ship Maneuvering ◽  
Maneuvering Motion

Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression

2015 ◽  
Vol 137 (3) ◽  
Author(s):  
Yin Jian-Chuan ◽  
Zou Zao-Jian ◽  
Xu Feng
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Parametric Identification ◽  
Small Sample ◽  
High Dimensionality ◽  
Pls Regression ◽  
Ship Maneuvering ◽  
Processing Data ◽  
Hydrodynamic Derivatives ◽  
Maneuvering Motion

Partial least squares (PLS) regression is used for identifying the hydrodynamic derivatives in the Abkowitz model for ship maneuvering motion. To identify the dynamic characteristics in ship maneuvering motion, the derivatives of hydrodynamic model's outputs are set as the target output of the PLS identification model. To verify the effectiveness of PLS parametric identification method in processing data with high dimensionality and heavy multicollinearity, the identified results of the hydrodynamic derivatives from the simulated 20 deg/20 deg zigzag test are compared with the planar motion mechanism (PMM) test results. The performance of PLS regression is also compared with that of the conventional least squares (LS) regression using the same dataset. Simulation results show the satisfactory identification and generalization performances of PLS regression and its superiority in comparison with the LS method, which demonstrates its capability in processing measurement data with high dimensionality and heavy multicollinearity, especially in processing data with small sample size.

Parameter Identification of Ship Maneuvering Model Based on Support Vector Machines and Particle Swarm Optimization

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
Weilin Luo ◽  
C. Guedes Soares ◽  
Zaojian Zou
Keyword(s):  
Particle Swarm Optimization ◽  
Support Vector Machines ◽  
Difference Method ◽  
Particle Swarm ◽  
Support Vector ◽  
Ship Maneuvering ◽  
Swarm Optimization ◽  
Hydrodynamic Derivatives ◽  
Vector Machines ◽  
Maneuvering Motion

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.

A practical calculation method of ship maneuvering motion

1981 ◽  
Vol 28 (325) ◽  
pp. 207-222 ◽  
Author(s):  
S. Inoue ◽  
M. Hirano ◽  
K. Kijima ◽  
J. Takashina
Keyword(s):  
Calculation Method ◽  
Practical Calculation ◽  
Ship Maneuvering ◽  
Maneuvering Motion

scholarly journals Effect on Ship Maneuvering Motion under Strong Tidal Current

2002 ◽  
Vol 106 (0) ◽  
pp. 113-120
Author(s):  
Yasuyuki NIWA ◽  
Masayoshi NUMANO ◽  
Junji FUKUTO ◽  
Mitsuo TADA
Keyword(s):  
Tidal Current ◽  
Ship Maneuvering ◽  
Maneuvering Motion ◽  
Strong Tidal Current

scholarly journals Cooperative Maneuvering Mathematical Modeling for Multi-tugs Towing a Ship in the Port Environment

2021 ◽  
Vol 9 (4) ◽  
pp. 384
Author(s):  
Gongxing Wu ◽  
Xiaolong Zhao ◽  
Yushan Sun ◽  
Linling Wang
Keyword(s):  
Mathematic Model ◽  
Simulation Platform ◽  
Wind Force ◽  
Ship Maneuvering ◽  
Assisted Navigation ◽  
Development Tool ◽  
Runge Kutta Method ◽  
Towing Speed ◽  
The Mathematical Model ◽  
Maneuvering Motion

The towing operation of multi-tug-assisted ship navigation mainly relies on the experience of the captain, and there is no set of effective operation methods. Therefore, it is difficult to achieve accurate assisted navigation when multiple tugboats work in coordination. The calculation method of maneuverability of the towing system with multi-tug-assisted navigation is proposed in this paper. In view of the complexity of multi-tug-assisted large ship maneuvering, this article focuses on solving the problems of force analysis and maneuvering modeling between the multi-tug and ship systems. Firstly, a maneuvering mathematic model for towing ships is established, and the hydrodynamic force of the hull, rope force of the tugs, and force of wind interference are analyzed. The thrust and moment of the ducted azimuthal propeller are calculated, and the mathematical model of the tug’s cable tension is discussed. Then, the fourth-order Runge–Kutta method is used to solve the differential equations of the maneuvering motion of the ships and each tug. Based on the ship-towing process by multiple tugs, a multi-tug-assisted ship towing simulation platform was built by using the Visual Studio development tool. Finally, on the simulation platform, multi-tug longitudinal-towing-simulation experiments at different speeds were carried out, and the simulation of turning towing maneuvers under the influence of wind was done. The simulation results showed that as the towing speed increases, the initial towing speed fluctuates greatly. There is a significant drift effect on the ships by the wind force. And the wind will cause a fluctuation in the tug’s rope force. The simulation of the multi-tugs towing a ship entering the port was carried out in the port environment. The results showed that the multi-tug towing system and simulation platform may be used for the safety training of the tug’s crew.

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