A neural network model for a 5-thruster unmanned underwater vehicle

Unmanned underwater vehicles (UUVs) are mostly used for safe underwater explorations and researches. UUVs are subject to different parameters that changes over time. Such parameters are not considered in kinematic modelling of vehicles. As such, a dynamic modelling of underwater vehicles is necessar...

Full description

Saved in:
Bibliographic Details
Main Authors: Simbulan, Kristan Bryan, David, Kanny Krizzy, Vicerra, Ryan Rhay P., Atienza, Rumel, Dadios, Elmer P.
Format: text
Published: Animo Repository 2012
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1911
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-2910
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-29102023-01-10T01:38:45Z A neural network model for a 5-thruster unmanned underwater vehicle Simbulan, Kristan Bryan David, Kanny Krizzy Vicerra, Ryan Rhay P. Atienza, Rumel Dadios, Elmer P. Unmanned underwater vehicles (UUVs) are mostly used for safe underwater explorations and researches. UUVs are subject to different parameters that changes over time. Such parameters are not considered in kinematic modelling of vehicles. As such, a dynamic modelling of underwater vehicles is necessary. This study proposes a dynamic model that is utilizing Artificial Neural Network (ANN), for a 5-thruster underwater vehicle design. The training data for the ANN model is gathered by empirical methods. The dynamic model is represented by UUV variables: thrusters input voltages and resulting velocity vector. The results of the neural network showed accuracy and reliability due to the low Mean Square Error (MSE) and satisfactory regression plots. © 2012 IEEE. 2012-12-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/1911 Faculty Research Work Animo Repository Autonomous underwater vehicles Intelligent agents (Computer software) Neural networks (Computer science) Electrical and Computer Engineering Electrical and Electronics Systems and Communications
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Autonomous underwater vehicles
Intelligent agents (Computer software)
Neural networks (Computer science)
Electrical and Computer Engineering
Electrical and Electronics
Systems and Communications
spellingShingle Autonomous underwater vehicles
Intelligent agents (Computer software)
Neural networks (Computer science)
Electrical and Computer Engineering
Electrical and Electronics
Systems and Communications
Simbulan, Kristan Bryan
David, Kanny Krizzy
Vicerra, Ryan Rhay P.
Atienza, Rumel
Dadios, Elmer P.
A neural network model for a 5-thruster unmanned underwater vehicle
description Unmanned underwater vehicles (UUVs) are mostly used for safe underwater explorations and researches. UUVs are subject to different parameters that changes over time. Such parameters are not considered in kinematic modelling of vehicles. As such, a dynamic modelling of underwater vehicles is necessary. This study proposes a dynamic model that is utilizing Artificial Neural Network (ANN), for a 5-thruster underwater vehicle design. The training data for the ANN model is gathered by empirical methods. The dynamic model is represented by UUV variables: thrusters input voltages and resulting velocity vector. The results of the neural network showed accuracy and reliability due to the low Mean Square Error (MSE) and satisfactory regression plots. © 2012 IEEE.
format text
author Simbulan, Kristan Bryan
David, Kanny Krizzy
Vicerra, Ryan Rhay P.
Atienza, Rumel
Dadios, Elmer P.
author_facet Simbulan, Kristan Bryan
David, Kanny Krizzy
Vicerra, Ryan Rhay P.
Atienza, Rumel
Dadios, Elmer P.
author_sort Simbulan, Kristan Bryan
title A neural network model for a 5-thruster unmanned underwater vehicle
title_short A neural network model for a 5-thruster unmanned underwater vehicle
title_full A neural network model for a 5-thruster unmanned underwater vehicle
title_fullStr A neural network model for a 5-thruster unmanned underwater vehicle
title_full_unstemmed A neural network model for a 5-thruster unmanned underwater vehicle
title_sort neural network model for a 5-thruster unmanned underwater vehicle
publisher Animo Repository
publishDate 2012
url https://animorepository.dlsu.edu.ph/faculty_research/1911
_version_ 1754713735726891008