Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control

This paper presented controller designs utilized in controlling the ROV depth control system which involved Single Input Fuzzy Logic Controller (SIFLC),Adaptive Neural Fuzzy Inference System (ANFIS),Mamdani Fuzzy Logic Controller (M-FLC) and Proportional Integrated Differential (PID) controller.The...

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Main Authors: Mohd Aras, Mohd Shahrieel, Mohd Zambri, Mohd Khairi, Nor Azmi, Muhammad Wahyuddin, Harun, Mohamad Haniff, Bahar, Mohd Bazli, Mohd Shah, Hairol Nizam, Husni, Ahmad Faiez
Format: Article
Language:en
Published: Science Publishing Corporation 2018
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Online Access:http://eprints.utem.edu.my/id/eprint/21976/2/IJET-18830.pdf
http://eprints.utem.edu.my/id/eprint/21976/
https://www.sciencepubco.com/index.php/ijet/article/view/18830
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author Mohd Aras, Mohd Shahrieel
Mohd Zambri, Mohd Khairi
Nor Azmi, Muhammad Wahyuddin
Harun, Mohamad Haniff
Bahar, Mohd Bazli
Mohd Shah, Hairol Nizam
Husni, Ahmad Faiez
author_facet Mohd Aras, Mohd Shahrieel
Mohd Zambri, Mohd Khairi
Nor Azmi, Muhammad Wahyuddin
Harun, Mohamad Haniff
Bahar, Mohd Bazli
Mohd Shah, Hairol Nizam
Husni, Ahmad Faiez
author_sort Mohd Aras, Mohd Shahrieel
building UTEM Library
collection Institutional Repository
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
continent Asia
country Malaysia
description This paper presented controller designs utilized in controlling the ROV depth control system which involved Single Input Fuzzy Logic Controller (SIFLC),Adaptive Neural Fuzzy Inference System (ANFIS),Mamdani Fuzzy Logic Controller (M-FLC) and Proportional Integrated Differential (PID) controller.The model of ROV was generate using MATLAB System Identification Toolbox’s to gain a transfer function representing the ROV model.This ROV design focused on depth control.The main objective of this study was to analyze the performance of system response among the Controller designs.This controller was verified and validated in MATLAB/Simulink platform.The result showed the analysis performances of the system response in terms of rise time and percentage of overshoot.
format Article
id my.utem.eprints-21976
institution Universiti Teknikal Malaysia Melaka
language en
publishDate 2018
publisher Science Publishing Corporation
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spelling my.utem.eprints-219762023-08-03T11:10:54Z http://eprints.utem.edu.my/id/eprint/21976/ Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control Mohd Aras, Mohd Shahrieel Mohd Zambri, Mohd Khairi Nor Azmi, Muhammad Wahyuddin Harun, Mohamad Haniff Bahar, Mohd Bazli Mohd Shah, Hairol Nizam Husni, Ahmad Faiez T Technology (General) TJ Mechanical engineering and machinery This paper presented controller designs utilized in controlling the ROV depth control system which involved Single Input Fuzzy Logic Controller (SIFLC),Adaptive Neural Fuzzy Inference System (ANFIS),Mamdani Fuzzy Logic Controller (M-FLC) and Proportional Integrated Differential (PID) controller.The model of ROV was generate using MATLAB System Identification Toolbox’s to gain a transfer function representing the ROV model.This ROV design focused on depth control.The main objective of this study was to analyze the performance of system response among the Controller designs.This controller was verified and validated in MATLAB/Simulink platform.The result showed the analysis performances of the system response in terms of rise time and percentage of overshoot. Science Publishing Corporation 2018-09 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21976/2/IJET-18830.pdf Mohd Aras, Mohd Shahrieel and Mohd Zambri, Mohd Khairi and Nor Azmi, Muhammad Wahyuddin and Harun, Mohamad Haniff and Bahar, Mohd Bazli and Mohd Shah, Hairol Nizam and Husni, Ahmad Faiez (2018) Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control. International Journal Of Engineering & Technology, 7. pp. 419-423. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/18830
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Mohd Aras, Mohd Shahrieel
Mohd Zambri, Mohd Khairi
Nor Azmi, Muhammad Wahyuddin
Harun, Mohamad Haniff
Bahar, Mohd Bazli
Mohd Shah, Hairol Nizam
Husni, Ahmad Faiez
Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control
title Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control
title_full Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control
title_fullStr Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control
title_full_unstemmed Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control
title_short Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control
title_sort comparison of controllers design performance for underwater remotely operated vehicle (rov) depth control
topic T Technology (General)
TJ Mechanical engineering and machinery
url http://eprints.utem.edu.my/id/eprint/21976/2/IJET-18830.pdf
http://eprints.utem.edu.my/id/eprint/21976/
https://www.sciencepubco.com/index.php/ijet/article/view/18830
url_provider http://eprints.utem.edu.my/