Simulation studies relating to rudder roll stabilization of a container ship using neural networks

RRS (Rudder Roll Stabilization) of Ships is a difficult problem because of its associated non-linear dynamics, coupling effects and complex control requirements. This paper proposes a solution of this stabilization problem that is based on an ANN (Artificial Neural Network) controller. The controlle...

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Bibliographic Details
Published in:	Mehran University research journal of engineering and technology Vol. 38; no. 2; pp. 259 - 268
Main Authors:	Unar, Mukhtiar Ali, Murray-Smith, David J, Zardari, Shahnila, McGookin, Euan W.
Format:	Journal Article
Language:	English
Published:	Mehran University of Engineering and Technology, Jamshoro, Pakistan 01-04-2019 Mehran University of Engineering and Technology
Series:	April 2019
Subjects:	Engineering Sciences MATLAB Neural networks (Computer science) Simulation Supervised learning (Machine learning) Ship Steering Artificial Neural Networks Rudder Roll Stabilization Ship Control
Online Access:	Get full text
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Summary:	RRS (Rudder Roll Stabilization) of Ships is a difficult problem because of its associated non-linear dynamics, coupling effects and complex control requirements. This paper proposes a solution of this stabilization problem that is based on an ANN (Artificial Neural Network) controller. The controller has been trained using supervised learning. The simulation studies have been carried out using MATLAB and a non-linear model of a container ship. It has been demonstrated that the proposed controller regulates heading and also controls roll angle very successfully.
Bibliography:	MURJET.jpg Mehran University Research Journal Of Engineering & Technology, Vol. 38, No. 2, Apr 2019: 259-268
ISSN:	0254-7821 2413-7219
DOI:	10.22581/muet1982.1902.02