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Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller

International Journal of Power Electronics and Drive Systems · Vol. 8 No. 3 (2017) · pp. 1176–1183

DOI
10.11591/ijpeds.v8.i3.pp1176-1183
ISSN
2722-256X, 2088-8694
Published
2017-09-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Generally, Electronic Load Control (ELC) used in micro hydro power plant (MHPP) to controls the voltage between consumer load and a dummy load, still detects one parameter voltage or frequency generator only. Whereas in reality, any changes in the load on consumers, generator voltage and frequency also changed. When the consumer load down the electric current will be supplied to the dummy load, amounting to decrease in consumer load. When there is a transfer load, there will be distortion voltage and frequency, thus a special methods to reduce distortions by speeding up the process of transferring the electric load is needed. The proposed of this study is using fuzzy logic algorithm.To realize such a system, a comparison tool model of load control digital electronic fuzzy logic controller (FLC) and Proportional Integrator (PI) is required. This modeling using matlab program to simulate, the simulation result shows that the ELC based on fuzzy logic controller is better than conventional PI control, it seen from fast response to steady state condition.

Collaboration network of the authors

40 authors · 94 co-authorship links · 17 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 Muhammadiyah Malang
  • STIKOM Tunas Bangsa
  • Hasanuddin University
  • University of Technology Malaysia
  • IKIP Siliwangi
  • Sriwijaya University
  • State University of Makassar
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Merinda LestandyUniversitas Muhammadiyah Malang4
Shahrum Shah AbdullahAffiliation unknown4
Mochammad Arif HidayatullahAffiliation unknown3
Fitri YakubUniversity of Technology Malaysia3
Shamsul Faisal Mohd HusseinAffiliation unknown3
Iskhaq IskandarSriwijaya University2
Khaeruddin KhaeruddinState University of Makassar1
M. F. Nor ShahUniversity of Technology Malaysia1
Heris HendrianaIKIP Siliwangi1
Euis Eti RohaetiIKIP Siliwangi1
Agustian SinagaSTIKOM Tunas Bangsa1
Andri AndriSTIKOM Tunas Bangsa1
M Fajar IlhamSTIKOM Tunas Bangsa1
Muhammad FadlySTIKOM Tunas Bangsa1
Muhammad Najib HussainAffiliation unknown1
Ikrima NufikriaAffiliation unknown1
Rodhiya RahmanUniversitas Muhammadiyah Malang1
Imron AfandiUniversitas Muhammadiyah Malang1
Ilham SaputraUniversitas Muhammadiyah Malang1
Pangeran Apriyono SubirtoUniversitas Muhammadiyah Malang1
Machmud EffendyUniversitas Muhammadiyah Malang1
Suryanto ArifinAffiliation unknown1
Andi HarisAffiliation unknown1
FazaAffiliation unknown1
TiniAffiliation unknown1
AnggiAffiliation unknown1
Marwan RajabUniversitas Gadjah Mada1
Andi PrastiyoHasanuddin University1
Abd RahmanHasanuddin University1
Denik AgustitoAffiliation unknown1
Krida Singgih KuncoroAffiliation unknown1
Dede MulyantoAffiliation unknown1
Agus RohmanAffiliation unknown1
Epon SopiahAffiliation 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://ijpeds.iaescore.com/index.php/IJPEDS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Performance Comparison of Fuzzy Logic and  Proportional-integral for an Electronic Load Controller</dc:title>
	<dc:creator>Irfan, Muhammad</dc:creator>
	<dc:creator>Effendy, Machmud</dc:creator>
	<dc:creator>Alif, Nur</dc:creator>
	<dc:creator>Syafaah, Lailis</dc:creator>
	<dc:creator>Pakaya, Ilham</dc:creator>
	<dc:creator>Faruq, Amrul</dc:creator>
	<dc:description xml:lang="en-US">Generally, Electronic Load Control (ELC) used in micro hydro power plant (MHPP) to controls the voltage between consumer load and a dummy load, still detects one parameter voltage or frequency generator only. Whereas in reality, any changes in the load on consumers, generator voltage and frequency also changed. When the consumer load down the electric current will be supplied to the dummy load, amounting to decrease in consumer load. When there is a transfer load, there will be distortion voltage and frequency, thus a special methods to reduce distortions by speeding up the process of transferring the electric load is needed. The proposed of this study is using fuzzy logic algorithm.To realize such a system, a comparison tool model of load control digital electronic fuzzy logic controller (FLC) and Proportional Integrator (PI) is required. This modeling using matlab program to simulate, the simulation result shows that the ELC based  on fuzzy logic controller is better than conventional PI control, it seen from fast response to steady state condition.</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>2017-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US"></dc:type>
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	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/7946</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v8.i3.pp1176-1183</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 8, No 3: September 2017; 1176-1183</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v8.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/7946/7015</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Muhammad Irfan, Machmud Effendy, Nur Alif, Lailis Syafaah, Ilham Pakaya, Amrul Faruq</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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