Simulation Studies Relating to Rudder Roll Stabilization of a Container Ship Using Neural Networks

  • Mukhtiar  Ali Unar Department of Computer Systems Engineering, Mehran University of Engineering and Technology, Jamshoro , Pakistan
  •  David J Murray-Smith School of Engineering, University of Glasgow, Glasgow, Scotland, UK.
  •  Shahnila  Zardari Department of Computer Science and Software Engineering, NED University of Engineering and Technology, Karachi, Pakistan.
  •  Euan W.  McGookin School of Engineering, University of Glasgow, Glasgow, Scotland, UK

Abstract

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.

Published
Apr 1, 2019
How to Cite
UNAR, Mukhtiar  Ali et al. Simulation Studies Relating to Rudder Roll Stabilization of a Container Ship Using Neural Networks. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 38, n. 2, p. 259-268, apr. 2019. ISSN 2413-7219. Available at: <http://publications.muet.edu.pk/index.php/muetrj/article/view/943>. Date accessed: 17 oct. 2019.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License