Particle swarm optimization of neural controller for tanker ship steering

This paper discussed the implementation of Particle Swarm Optimization (PSO) to optimize a Radial Basis Function (RBF) neural controller for tanker ship control. The RBF neural controller uses reinforcement learning strategy to achieve the heading regulation of tanker ship exposed to plant changes a...

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Main Authors: Loo, C. K., Mastorakis, Nikos E.
Format: Conference or Workshop Item
Published: 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3236/
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author Loo, C. K.
Mastorakis, Nikos E.
author_facet Loo, C. K.
Mastorakis, Nikos E.
author_sort Loo, C. K.
building MMU Institutional Repository
collection Online Access
description This paper discussed the implementation of Particle Swarm Optimization (PSO) to optimize a Radial Basis Function (RBF) neural controller for tanker ship control. The RBF neural controller uses reinforcement learning strategy to achieve the heading regulation of tanker ship exposed to plant changes and disturbances. However, the tuning of the neural controller design parameters are considered to be difficult and tedious due to the high nonlinearity of the ship dynamic model and the external disturbances. It is shown that PSO can provide a very promising technique for its simplicity and ease of use. Moreover, Centroidal Voronoi Tessellation (CVT) is implemented to select the starting positions of the particles strategically. The promising results from the experiment provide direct evidence for the feasibility and effectiveness of PSO for the optimization of neural controller for tanker ship heading regulation.
first_indexed 2025-11-14T18:09:58Z
format Conference or Workshop Item
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institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:09:58Z
publishDate 2007
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repository_type Digital Repository
spelling mmu-32362011-10-12T08:12:49Z http://shdl.mmu.edu.my/3236/ Particle swarm optimization of neural controller for tanker ship steering Loo, C. K. Mastorakis, Nikos E. T Technology (General) QA75.5-76.95 Electronic computers. Computer science This paper discussed the implementation of Particle Swarm Optimization (PSO) to optimize a Radial Basis Function (RBF) neural controller for tanker ship control. The RBF neural controller uses reinforcement learning strategy to achieve the heading regulation of tanker ship exposed to plant changes and disturbances. However, the tuning of the neural controller design parameters are considered to be difficult and tedious due to the high nonlinearity of the ship dynamic model and the external disturbances. It is shown that PSO can provide a very promising technique for its simplicity and ease of use. Moreover, Centroidal Voronoi Tessellation (CVT) is implemented to select the starting positions of the particles strategically. The promising results from the experiment provide direct evidence for the feasibility and effectiveness of PSO for the optimization of neural controller for tanker ship heading regulation. 2007-07 Conference or Workshop Item NonPeerReviewed Loo, C. K. and Mastorakis, Nikos E. (2007) Particle swarm optimization of neural controller for tanker ship steering. In: 11th WSEAS International Conference on Circuits, 23-25 JUL 2007, Agios Nikolaos, GREECE. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=V2namOAJkanAEgD@AON&page=126&doc=1251
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Loo, C. K.
Mastorakis, Nikos E.
Particle swarm optimization of neural controller for tanker ship steering
title Particle swarm optimization of neural controller for tanker ship steering
title_full Particle swarm optimization of neural controller for tanker ship steering
title_fullStr Particle swarm optimization of neural controller for tanker ship steering
title_full_unstemmed Particle swarm optimization of neural controller for tanker ship steering
title_short Particle swarm optimization of neural controller for tanker ship steering
title_sort particle swarm optimization of neural controller for tanker ship steering
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3236/
http://shdl.mmu.edu.my/3236/