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Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer

International Journal of Power Electronics and Drive Systems · Vol. 15 No. 2 (2024) · hlm. 696–703

DOI
10.11591/ijpeds.v15.i2.pp696-703
ISSN
2722-256X, 2088-8694
Terbit
2024-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

In this paper, a gradient-based optimizer (GBO) algorithm is presented to optimize the parameters of a proportional integral derivative (PID) controller in DC motor control. The GBO algorithm which mathematically models and mimics is inspired by the gradient-based Newton method. It was developed to address various optimization issues. To determine the performance of the proposed method, a comparison method with the ant colony optimization (ACO) method. It was compared using the integral of time multiplied absolute error (ITAE). They are most popularly used in the literature. From the test results, the proposed method is promising and has better effectiveness. The proposed method, namely GBO-PID, shows the best performance.

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40 penulis · 119 tautan kepenulisan bersama · 56 lintas organisasi · menampilkan 40 yang paling banyak terhubung

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  • Universitas Negeri Surabaya
  • Chouaib Doukkali University
  • Institut Teknologi Sepuluh Nopember
  • Dayananda Sagar College of Engineering
  • Université Hassan 1er
  • Al al-Bayt University
  • Universidad de Guadalajara
  • Organisasi lain
  • Afiliasi tidak diketahui
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  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Bambang SupriantoUniversitas Negeri Surabaya13
Diego A. OlivaUniversidad de Guadalajara7
Aliyu SaboNigerian Defence Academy6
Hisham A. ShehadehAl-Balqa Applied University6
Aditya Chandra HermawanUniversitas Negeri Surabaya5
Abeer A. AljohaniTaibah University4
Dimas Ahmad Nur Kholis SuhermantoUniversitas Negeri Surabaya4
Unit Three KartiniUniversitas Negeri Surabaya3
Toufik MziliChouaib Doukkali University3
Heri SuryoatmojoInstitut Teknologi Sepuluh Nopember2
Feby Agung PamujiInstitut Teknologi Sepuluh Nopember2
M. PremkumarGMR Institute of Technology2
Suraj RaviDayananda Sagar College of Engineering2
Joko JokoUniversitas Negeri Surabaya2
Nur Vidia Laksmi B.Universitas Negeri Surabaya1
Muhammad Syahril MubarokUniversitas Airlangga1
Moh. Zaenal EffendiAfiliasi tidak diketahui1
Tian‐Hua LiuNational Taiwan University of Science and Technology1
Ahmed AbatalUniversité Hassan 1er1
Mourad MziliChouaib Doukkali University1
Zakaria BenlaliaChouaib Doukkali University1
Hajar KhalloukiUniversité Hassan 1er1
Mohammed El Kaim BillahChouaib Doukkali University1
Mutasem K. AlsmadiImam Abdulrahman Bin Faisal University1
Ghaith M. JaradatAmman Arab University1
Mohamad I. Al‐WidyanJordan University of Science and Technology1
Supari MuslimUniversitas Negeri Surabaya1
G. Saikiran ReddyDayananda Sagar College of Engineering1
Supari SupariUniversitas Negeri Surabaya1
Wiyli YustantiUniversitas Negeri Surabaya1
Farid BaskoroUniversitas Negeri Surabaya1
Yuni YamasariUniversitas Negeri Surabaya1
Miftahur RohmanUniversitas Negeri Surabaya1
Rina HarimurtiUniversitas Negeri Surabaya1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer</dc:title>
	<dc:creator>Aribowo, Widi</dc:creator>
	<dc:creator>Rahmadian, Reza</dc:creator>
	<dc:creator>Widyartono, Mahendra</dc:creator>
	<dc:creator>Wardani, Ayusta Lukita</dc:creator>
	<dc:creator>Prapanca, Aditya</dc:creator>
	<dc:creator>Abualigah, Laith</dc:creator>
	<dc:subject xml:lang="en-US">artificial intelligence; DC motor; gradient-based optimizer; metaheuristic; proportional integral derivative</dc:subject>
	<dc:description xml:lang="en-US">In this paper, a gradient-based optimizer (GBO) algorithm is presented to optimize the parameters of a proportional integral derivative (PID) controller in DC motor control. The GBO algorithm which mathematically models and mimics is inspired by the gradient-based Newton method. It was developed to address various optimization issues. To determine the performance of the proposed method, a comparison method with the ant colony optimization (ACO) method. It was compared using the integral of time multiplied absolute error (ITAE). They are most popularly used in the literature. From the test results, the proposed method is promising and has better effectiveness. The proposed method, namely GBO-PID, shows the best performance.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-06-01</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://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23063</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v15.i2.pp696-703</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 15, No 2: June 2024; 696-703</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v15.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23063/14554</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Widi Aribowo</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>