Investigation of a Multitasking System for Automatic Ship Berthing in Marine Practice Based on an Integrated Neural Controller
In this article, a multitasking system is investigated for automatic ship berthing in marine practices, based on artificial neural networks (ANNs). First, a neural network with separate structures in hidden layers is developed, based on a head-up coordinate system. This network is trained once with...
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doaj-5efb1269507844fd8ed63f1e7749930c2020-11-25T03:01:18ZengMDPI AGMathematics2227-73902020-07-0181167116710.3390/math8071167Investigation of a Multitasking System for Automatic Ship Berthing in Marine Practice Based on an Integrated Neural ControllerVan Suong Nguyen0Faculty of Navigation, Vietnam Maritime University, 484 Lachtray Str., Haiphong City 180000, VietnamIn this article, a multitasking system is investigated for automatic ship berthing in marine practices, based on artificial neural networks (ANNs). First, a neural network with separate structures in hidden layers is developed, based on a head-up coordinate system. This network is trained once with the berthing data of a ship in an original port to conduct berthing tasks in different ports. Then, on the basis of the developed network, an integrated mechanism including three negative signs is linked to achieve an integrated neural controller. This controller can bring the ship to a berth on each side of the ship in different ports. The whole system has the ability to berth for different tasks without retraining the neural network. Finally, to validate the effectiveness of the proposed system for automatic ship berthing, numerical simulations were performed for berthing tasks, such as different ports, and berthing each side of the ship. The results indicate that the proposed system shows a good performance in automatic ship berthing.https://www.mdpi.com/2227-7390/8/7/1167automatic ship berthingmultitasking systemartificial neural networksintegrated neural controllerhead-up coordinate system |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Van Suong Nguyen |
spellingShingle |
Van Suong Nguyen Investigation of a Multitasking System for Automatic Ship Berthing in Marine Practice Based on an Integrated Neural Controller Mathematics automatic ship berthing multitasking system artificial neural networks integrated neural controller head-up coordinate system |
author_facet |
Van Suong Nguyen |
author_sort |
Van Suong Nguyen |
title |
Investigation of a Multitasking System for Automatic Ship Berthing in Marine Practice Based on an Integrated Neural Controller |
title_short |
Investigation of a Multitasking System for Automatic Ship Berthing in Marine Practice Based on an Integrated Neural Controller |
title_full |
Investigation of a Multitasking System for Automatic Ship Berthing in Marine Practice Based on an Integrated Neural Controller |
title_fullStr |
Investigation of a Multitasking System for Automatic Ship Berthing in Marine Practice Based on an Integrated Neural Controller |
title_full_unstemmed |
Investigation of a Multitasking System for Automatic Ship Berthing in Marine Practice Based on an Integrated Neural Controller |
title_sort |
investigation of a multitasking system for automatic ship berthing in marine practice based on an integrated neural controller |
publisher |
MDPI AG |
series |
Mathematics |
issn |
2227-7390 |
publishDate |
2020-07-01 |
description |
In this article, a multitasking system is investigated for automatic ship berthing in marine practices, based on artificial neural networks (ANNs). First, a neural network with separate structures in hidden layers is developed, based on a head-up coordinate system. This network is trained once with the berthing data of a ship in an original port to conduct berthing tasks in different ports. Then, on the basis of the developed network, an integrated mechanism including three negative signs is linked to achieve an integrated neural controller. This controller can bring the ship to a berth on each side of the ship in different ports. The whole system has the ability to berth for different tasks without retraining the neural network. Finally, to validate the effectiveness of the proposed system for automatic ship berthing, numerical simulations were performed for berthing tasks, such as different ports, and berthing each side of the ship. The results indicate that the proposed system shows a good performance in automatic ship berthing. |
topic |
automatic ship berthing multitasking system artificial neural networks integrated neural controller head-up coordinate system |
url |
https://www.mdpi.com/2227-7390/8/7/1167 |
work_keys_str_mv |
AT vansuongnguyen investigationofamultitaskingsystemforautomaticshipberthinginmarinepracticebasedonanintegratedneuralcontroller |
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1724693803299766272 |