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Genetic Algorithm Optimization based Nonlinear Ship Maneuvering Control

Publication Type : Journal Article

Publisher : Elsevier Applied Ocean Research

Source : Elsevier Applied Ocean Research, 74: 142-153

Url : https://www.sciencedirect.com/science/article/abs/pii/S0141118717302109

Campus : Chennai

School : School of Engineering

Department : Mechanical Engineering

Year : 2018

Abstract : A procedure to automatically maneuver surface ships on a given target path has been outlined in this paper. The ship maneuvering model is nonlinear. The procedure hinges on a Target Path Iteration (TPI) controller integrated with genetic algorithm (GA). GA is used to obtain the optimum command rudder angle and length of target trajectory in a particular simulation time step with the objective to minimize the mean squared error of the actual path taken by the ship vis-à-vis the target trajectory. The proposed control algorithm has been implemented on a variety of straight line and curved trajectories and the results show that the method used is accurate and robust.

Cite this Research Publication : Gupta D. K., K. L. Vasudev and S. K. Bhattacharyya (2018) Genetic Algorithm Optimization based Nonlinear Ship Maneuvering Control. Elsevier Applied Ocean Research, 74: 142-153. (Impact factor 2.97)

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