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Nonlinear Control of Engine Speed Regulation Using Grey Wolf Optimizer for Enhanced System Stability and Performance

Journal of Robotics and Control (JRC) · Vol. 6 No. 3 (2025) · hlm. 1541–1549

DOI
10.18196/jrc.v6i3.26818
ISSN
2715-5072, 2715-5056
Terbit
2025-06-11
Penerbit
Universitas Muhammadiyah Yogyakarta
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Accurate control of internal combustion engine speed, especially under variable load conditions, has always been a significant challenge in the automotive industry. Classical PID controllers often fail to effectively compensate for nonlinearities and environmental disturbances in spark ignition (SI) engines. To address this issue, we propose a method based on tuning PIDF controller parameters using the grey wolf optimizer (GWO) to enhance system stability and performance. This approach aims to reduce steady-state error, settling time, and overshoot. A mathematical model of the engine speed control system is developed, and the GWO algorithm is applied to optimize the PIDF gains. The performance of the GWO-based controller is then compared to other metaheuristic methods such as particle swarm optimization (PSO), differential evolution (DE), and cuckoo search (CS) algorithms through simulation. Simulation results demonstrate that the proposed GWO-based approach outperforms the alternatives by achieving better error reduction, improved stability, enhanced disturbance rejection, and faster response times.

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  • Sebelas Maret University
  • Universitas Ahmad Dahlan
  • Universiti Teknikal Malaysia Melaka
  • Islamic Azad University, Tehran
  • University of Hassan II Casablanca
  • Ecole Mohammadia d'Ingénieurs
  • Gedik University
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Rekan penulisOrganisasiArtikel bersama
Iswanto SuwarnoMuhammadiyah University of Yogyakarta4
Hari MaghfirohSebelas Maret University3
Magdi S. MahmoudKing Fahd University of Petroleum and Minerals3
Mahmoud A. MossaMinia University3
Abdullah ÇakanKonya Technical University2
Marco Antonio Márquez-VeraUniversidad Politécnica de Pachuca2
N. S. AbuUniversiti Teknikal Malaysia Melaka2
Wan Mohd BukhariUniversiti Teknikal Malaysia Melaka2
M. H. AdliAdvanced Semiconductor Engineering (Taiwan)2
Furizal FurizalUniversitas Ahmad Dahlan2
Muhammad NizamSebelas Maret University1
Joko Slamet SaputroSebelas Maret University1
Berlian Shanaza AndianySebelas Maret University1
Chico HermanuSebelas Maret University1
Miftahul AnwarSebelas Maret University1
Sunardi SunardiUniversitas Ahmad Dahlan1
Rio Ikhsan AlfianUniversitas Ahmad Dahlan1
Naufal Rahmat SetiawanAfiliasi tidak diketahui1
Ahmed Jaber AbougarairUniversity of Tripoli1
Edwin Albert UmohAfiliasi tidak diketahui1
Safinta Nurindra RahmadhiaUniversitas Ahmad Dahlan1
Samir LadaciEcole Nationale Polytechnique de Constantine1
Jonattan Niño ParadaUniversidad de los Llanos1
Reza AlayiIslamic Azad University, Tehran1
Yaser EbazadehIslamic Azad University, Tehran1
Ferydon GharadaghiAfiliasi tidak diketahui1
Farnaz JahanbinIslamic Azad University, Mashhad1
Nima ShafaghatianUniversity of Zanjan1
Hamdi EcheikhEcole Nationale d'Ingénieurs de Monastir1
Mohamed MoutchouUniversity of Hassan II Casablanca1
Souad TayaneUniversity of Hassan II Casablanca1
Yassine ZahraouiHassania School of Public Works1
Chaymae FahassaEcole Mohammadia d'Ingénieurs1
Sara ElbadaouiEcole Mohammadia d'Ingénieurs1
Houari KhouidmiHassiba Benbouali University of Chlef1
Mahmoud ZadehbagheriIslamic Azad University Yasuj1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.umy.ac.id/index.php/jrc/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Nonlinear Control of Engine Speed Regulation Using Grey Wolf Optimizer for Enhanced System Stability and Performance</dc:title>
	<dc:creator>Ekinci, Serdar</dc:creator>
	<dc:creator>Izci, Davut</dc:creator>
	<dc:creator>Jabari, Mostafa</dc:creator>
	<dc:creator>Ma'arif, Alfian</dc:creator>
	<dc:subject xml:lang="en-US">Engine Speed Control</dc:subject>
	<dc:subject xml:lang="en-US">Grey Wolf Optimizer</dc:subject>
	<dc:subject xml:lang="en-US">PIDF Controller Design</dc:subject>
	<dc:subject xml:lang="en-US">Stability Enhancement</dc:subject>
	<dc:subject xml:lang="en-US">Optimization</dc:subject>
	<dc:description xml:lang="en-US">Accurate control of internal combustion engine speed, especially under variable load conditions, has always been a significant challenge in the automotive industry. Classical PID controllers often fail to effectively compensate for nonlinearities and environmental disturbances in spark ignition (SI) engines. To address this issue, we propose a method based on tuning PIDF controller parameters using the grey wolf optimizer (GWO) to enhance system stability and performance. This approach aims to reduce steady-state error, settling time, and overshoot. A mathematical model of the engine speed control system is developed, and the GWO algorithm is applied to optimize the PIDF gains. The performance of the GWO-based controller is then compared to other metaheuristic methods such as particle swarm optimization (PSO), differential evolution (DE), and cuckoo search (CS) algorithms through simulation. Simulation results demonstrate that the proposed GWO-based approach outperforms the alternatives by achieving better error reduction, improved stability, enhanced disturbance rejection, and faster response times.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Yogyakarta</dc:publisher>
	<dc:date>2025-06-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.umy.ac.id/index.php/jrc/article/view/26818</dc:identifier>
	<dc:identifier>10.18196/jrc.v6i3.26818</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Robotics and Control (JRC); Vol. 6 No. 3 (2025); 1541-1549</dc:source>
	<dc:source>2715-5072</dc:source>
	<dc:source>2715-5056</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.umy.ac.id/index.php/jrc/article/view/26818/11652</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Serdar Ekinci, Davut Izci, Mostafa Jabari, Alfian Ma'arif</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>