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A neural network based heading and position control system of a ship
- Source :
- Mehran University Research Journal of Engineering and Technology, Vol 41, Iss 2, Pp 172-177 (2022)
- Publication Year :
- 2022
- Publisher :
- Mehran University of Engineering and Technology, 2022.
-
Abstract
- Heading and position control system of ships has remained a challenging control problem. It is a nonlinear multiple input multiple output system. Moreover, the dynamics of the system vary with operating as well as environmental conditions. Conventionally, simple Proportional Integral Derivative controller is used which has well known limitations. Other conventional control techniques have also been investigated but they require an accurate mathematical model of a ship. Unfortunately, accuracy of mathematical models is very difficult to achieve. During the past few decades computational intelligence techniques such as artificial neural networks have been very successful when an accurate mathematical model is not available. Therefore, in this paper, an artificial neural network controller is proposed for heading and position control system. For simulation purposes, a mathematical model with four effective thrusters have been chosen to test the performance of the proposed controller. The final closed loop system has been analysed and tested through simulation studies. The results are very encouraging.
- Subjects :
- Technology
Engineering (General). Civil engineering (General)
TA1-2040
Science
Subjects
Details
- Language :
- English
- ISSN :
- 02547821 and 24137219
- Volume :
- 41
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Mehran University Research Journal of Engineering and Technology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4986194106d0434995ce697768fc7f61
- Document Type :
- article
- Full Text :
- https://doi.org/10.22581/muet1982.2202.16