Melola Discovery

← Melola Discovery

Open access Journal SINTA 1

A new system for underwater vehicle balancing control based on weightless neural network and fuzzy logic methods

IAES International Journal of Artificial Intelligence · Vol. 13 No. 3 (2024) · pp. 2870–2882

DOI
10.11591/ijai.v13.i3.pp2870-2882
ISSN
2252-8938, 2089-4872
Published
2024-09-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The utilization of humans to be in the water for short time, resulting in limited area underwater that can be explored, so the information obtained is very limited, plus the influence of irregular water movements, changes in waves, and changes in water pressure, indirectly also constitutes obstacle to this problem. One of the best solutions is to develop underwater vessel that can travel either autonomously or by giving control of movement and navigation systems. New system for underwater vehicle balance control through weightless neural network (WNN) and fuzzy logic methods was proposed in this study. The aim was to simplify complicated data source on stability system using WNN algorithm and determine depth level of autonomous underwater vehicle (AUV) through fuzzy logic method. Moreover, speed control of underwater vehicle was determined using fuzzy rule-based design and inference. The tests were conducted by showing convergence performance of system in the form of AUV simulator. The results showed that proposed system could produce real-time motion balance performance, faster execution time, and good level of accuracy. This study was expected to produce real-time motion balance system with better performance, faster execution time, and good level of accuracy which could be subsequently used to design simple, cheap, and efficient hardware prototype.

Keywords

Collaboration network of the authors

40 authors · 97 co-authorship links · 15 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Sriwijaya University
  • Indonesian Institute of Sciences
  • Sebelas Maret University
  • Badan Pusat Statistik
  • Al Baha University
  • State University of Malang
  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Deris StiawanSriwijaya University7
Siti NurmainiSriwijaya University3
Nandariyah NandariyahAffiliation unknown2
Rahmat BudiartoAl Baha University2
Mohd. Yazid IdrisAffiliation unknown2
Yoppy SazakiSriwijaya University2
Muhammad SyahroyniSriwijaya University2
Bambang TutukoSriwijaya University2
Annisa DarmawahyuniSriwijaya University2
Bhakti Yudho SupraptoSriwijaya University2
Yokhebed YokhebedSebelas Maret University1
Mohammad MasykuriSebelas Maret University1
Baskoro Adi PrayitnoSebelas Maret University1
SUDIRMAN SUDIRMANState University of Malang1
Sigit PrastowoAffiliation unknown1
Shavya Sarah SavieraAffiliation unknown1
Rebecca VanessaAffiliation unknown1
Galih PambukoAffiliation unknown1
Ari SusilowatiAffiliation unknown1
Mahardhika BerliandaldoIndonesian Institute of Sciences1
Achmad ChodiqIndonesian Institute of Sciences1
Heru Eko PrasetyoIndonesian Institute of Sciences1
Woro Ayu PrasetyaningtyasAffiliation unknown1
Nurul Qomaril AfifahBadan Pusat Statistik1
Woro Ayu PrasetyaningtyasBadan Pusat Statistik1
Ikmal HilmiAffiliation unknown1
Eko SupraptonoAffiliation unknown1
Syaerozi SyaeroziAffiliation unknown1
Astrilia SarasatiAffiliation unknown1
Muhammad HarlanuAffiliation unknown1
Agus MurnomoState University of Semarang1
Alif Wahyu S FitriaAffiliation unknown1
I Made SudanaAffiliation unknown1
Aswita NurrikaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">A new system for underwater vehicle balancing control based on weightless neural network and fuzzy logic methods</dc:title>
	<dc:creator>Zarkasi, Ahmad</dc:creator>
	<dc:creator>Satria, Hadipurnawan</dc:creator>
	<dc:creator>Primanita, Anggina</dc:creator>
	<dc:creator>Abdurahman, Abdurahman</dc:creator>
	<dc:creator>Afifah, Nurul</dc:creator>
	<dc:creator>Sutarno, Sutarno</dc:creator>
	<dc:subject xml:lang="en-US">Embedded System and Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en-US">Balance control system; Fuzzy logic; Underwater vehicle; Unmanned aerial vehicles; Weightless neural network</dc:subject>
	<dc:description xml:lang="en-US">The utilization of humans to be in the water for short time, resulting in limited area underwater that can be explored, so the information obtained is very limited, plus the influence of irregular water movements, changes in waves, and changes in water pressure, indirectly also constitutes obstacle to this problem. One of the best solutions is to develop underwater vessel that can travel either autonomously or by giving control of movement and navigation systems. New system for underwater vehicle balance control through weightless neural network (WNN) and fuzzy logic methods was proposed in this study. The aim was to simplify complicated data source on stability system using WNN algorithm and determine depth level of autonomous underwater vehicle (AUV) through fuzzy logic method. Moreover, speed control of underwater vehicle was determined using fuzzy rule-based design and inference. The tests were conducted by showing convergence performance of system in the form of AUV simulator. The results showed that proposed system could produce real-time motion balance performance, faster execution time, and good level of accuracy. This study was expected to produce real-time motion balance system with better performance, faster execution time, and good level of accuracy which could be subsequently used to design simple, cheap, and efficient hardware prototype.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">The research publication of this article was funded by DIPA of Public Service Agency of Universitas Sriwijaya 2022. Nomor SP DIPA-023.17.2.677515/2022, On November 17, 2021. In accordance with the Dean's Decree Number: 2670/UN9.1.9/LT/2022</dc:contributor>
	<dc:date>2024-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/24733</dc:identifier>
	<dc:identifier>10.11591/ijai.v13.i3.pp2870-2882</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 13, No 3: September 2024; 2870-2882</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v13.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/24733/14095</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>