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Fuzzy-PID in BLDC Motor Speed Control Using MATLAB/Simulink

Journal of Robotics and Control (JRC) · Vol. 3 No. 1 (2021) · pp. 8–13

DOI
10.18196/jrc.v3i1.10964
ISSN
2715-5072, 2715-5056
Published
2021-06-30
Publisher
Universitas Muhammadiyah Yogyakarta
Language
eng

Abstract

Brushless DC motors (BLDC) are one of the most widely used types of DC motors, both in the industrial and automotive fields. BLDC motor was chosen because it has many advantages over other types of electric motors. However, in its application in the market, most of the control systems used in BLDC motors still use conventional controls. This conventional method is easy and simple to apply but has many weaknesses, one example is that if the system state changes, then the parameters of the PID must also be changed so that static and dynamic performance will decrease, causing slow response and frequent oscillations. In this study, the design and simulation of a speed control system for BLDC motors using the Fuzzy-PID method were carried out. The research method is performed through simulation with Matlab / Simulink. The simulation is carried out by providing a speed setpoint input of 650 rpm and used 2 methods, namely Fuzzy-PID Logic and Pi conventional method which was carried out for 1 second. The test results show that the Fuzzy-PID control can provide better and more stable performance than the conventional PI control. The use of Fuzzy-PID control can reduce speed fluctuation and torque stability so that the BLDC motor can operate more efficiently and reliably.

Keywords

Collaboration network of the authors

40 authors · 148 co-authorship links · 3 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.

  • Universitas Gadjah Mada
  • Hasanuddin University
  • Sultan Ageng Tirtayasa University
  • Universitas Ahmad Dahlan
  • Cenderawasih University
  • State University of Malang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Alfian Ma’arifAffiliation unknown7
Muhammad NizamHasanuddin University6
Oyas WahyunggoroUniversitas Gadjah Mada3
Adha Imam CahyadiUniversitas Gadjah Mada3
Chico HermanuAffiliation unknown3
Inayati InayatiAffiliation unknown3
Miftahul AnwarAffiliation unknown3
Alya MasithaAffiliation unknown3
Kariyamin KariyaminAffiliation unknown3
Furizal FurizalAffiliation unknown3
Aldi Bastiatul FawaitAffiliation unknown3
Kuo Lung LianAffiliation unknown2
Bwo Ren KeAffiliation unknown2
Henry Probo SantosoAffiliation unknown2
Mufti Reza Aulia PutraAffiliation unknown2
Azis UbaidilahAffiliation unknown2
Asno Azzawagama FirdausUniversitas Ahmad Dahlan2
Rahmad HidayatCenderawasih University2
Fahmi SyuhadaAffiliation unknown2
Joko Slamet SaputroAffiliation unknown2
Anif JamaluddinAffiliation unknown1
Supriyanto PraptodiyonoSultan Ageng Tirtayasa University1
Joko Slamet SaputroAffiliation unknown1
Berlian Shanaza AndianyAffiliation unknown1
Zainal ArifinAffiliation unknown1
Catur HarsitoAffiliation unknown1
Irwan IftadiAffiliation unknown1
Augustinus SujonoAffiliation unknown1
N. S. AbuAffiliation unknown1
W. M. BukhariAffiliation unknown1
M.H. AdliAffiliation unknown1
Arif Nur AfandiState University of Malang1
Indar Chaerah GunadinAffiliation unknown1
Agus MujiantoAffiliation unknown1
Henry Probo SantosoAffiliation unknown1
Vernanda Sitorini Zul HizmiAffiliation 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) https://journal.umy.ac.id/index.php/jrc/oai, first harvested 9 Nov 2026, last seen 9 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Fuzzy-PID in BLDC Motor Speed Control Using MATLAB/Simulink</dc:title>
	<dc:creator>Maghfiroh, Hari</dc:creator>
	<dc:creator>Ahmad, Musyaffa’</dc:creator>
	<dc:creator>Ramelan, Agus</dc:creator>
	<dc:creator>Adriyanto, Feri</dc:creator>
	<dc:subject xml:lang="en-US">BLDC</dc:subject>
	<dc:subject xml:lang="en-US">Motor</dc:subject>
	<dc:subject xml:lang="en-US">PID</dc:subject>
	<dc:subject xml:lang="en-US">Fuzzy-PID</dc:subject>
	<dc:description xml:lang="en-US">Brushless DC motors (BLDC) are one of the most widely used types of DC motors, both in the industrial and automotive fields. BLDC motor was chosen because it has many advantages over other types of electric motors. However, in its application in the market, most of the control systems used in BLDC motors still use conventional controls. This conventional method is easy and simple to apply but has many weaknesses, one example is that if the system state changes, then the parameters of the PID must also be changed so that static and dynamic performance will decrease, causing slow response and frequent oscillations. In this study, the design and simulation of a speed control system for BLDC motors using the Fuzzy-PID method were carried out. The research method is performed through simulation with Matlab / Simulink. The simulation is carried out by providing a speed setpoint input of 650 rpm and used 2 methods, namely Fuzzy-PID Logic and Pi conventional method which was carried out for 1 second. The test results show that the Fuzzy-PID control can provide better and more stable performance than the conventional PI control. The use of Fuzzy-PID control can reduce speed fluctuation and torque stability so that the BLDC motor can operate more efficiently and reliably.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Yogyakarta</dc:publisher>
	<dc:date>2021-06-30</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/10964</dc:identifier>
	<dc:identifier>10.18196/jrc.v3i1.10964</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Robotics and Control (JRC); Vol. 3 No. 1 (2022): January; 8-13</dc:source>
	<dc:source>2715-5072</dc:source>
	<dc:source>2715-5056</dc:source>
	<dc:source>10.18196/jrc.v3i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.umy.ac.id/index.php/jrc/article/view/10964/6477</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Hari Maghfiroh, Musyaffa’ Ahmad</dc:rights>
</oai_dc:dc>