Simulation Studies Relating to Rudder Roll Stabilization of a Container Ship Using Neural Networks
| Autor: | Mukhtiar Ali Unar, David J Murray-Smith, Shahnila Zardari, Euan W. McGookin |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Mehran University Research Journal of Engineering and Technology, Vol 38, Iss 2, Pp 259-268 (2019) |
| Druh dokumentu: | article |
| ISSN: | 0254-7821 2413-7219 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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