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Differential Evolution Algorithm with Triangular Adaptive Control Parameter for SHEPWM Switching Pattern Optimization

International Journal of Power Electronics and Drive Systems · Vol. 8 No. 3 (2017) · pp. 1381–1388

DOI
10.11591/ijpeds.v8.i3.pp1381-1388
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

Differential evolution (DE) algorithm has been applied as a powerful tool to find optimum switching angles for selective harmonic elimination pulse width modulation (SHEPWM) inverters. However, the DE’s performace is very dependent on its control parameters. Conventional DE generally uses either trial and error mechanism or tuning technique to determine appropriate values of the control paramaters. The disadvantage of this process is that it is very time comsuming. In this paper, an adaptive control parameter is proposed in order to speed up the DE algorithm in optimizing SHEPWM switching angles precisely. The proposed adaptive control parameter is proven to enhance the convergence process of the DE algorithm without requiring initial guesses. The results for both negative and positive modulation index (M) also indicate that the proposed adaptive DE is superior to the conventional DE in generating SHEPWM switching patterns

Collaboration network of the authors

18 authors · 46 co-authorship links · 5 across different organisations

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

  • Tanjungpura University
  • Institut Teknologi Medan
  • Universitas Prima Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
JUNAIDI JUNAIDIAffiliation unknown7
Fitriah HusinAffiliation unknown6
Syaifurrahman SyaifurrahmanTanjungpura University3
Kho Hie KhweeAffiliation unknown3
Trias Pontia WigyariantoAffiliation unknown2
Yohannes M SimanjuntakAffiliation unknown2
Suwarno SuwarnoInstitut Teknologi Medan2
M. IrwantoUniversitas Prima Indonesia2
Fitriah FitriahAffiliation unknown2
F. Trias Pontia WigyariantoTanjungpura University1
Rudy GiantoAffiliation unknown1
Neilcy T MooniarsihAffiliation unknown1
Syafrudin MasriAffiliation unknown1
Mohd HafeezAffiliation 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">Differential Evolution Algorithm with Triangular Adaptive Control Parameter for SHEPWM Switching Pattern Optimization</dc:title>
	<dc:creator>Yusuf, Ismail</dc:creator>
	<dc:creator>Hiendro, Ayong</dc:creator>
	<dc:creator>Pontia Wigyarianto, F. Trias</dc:creator>
	<dc:creator>Khwee, Kho Hie</dc:creator>
	<dc:description xml:lang="en-US">Differential evolution (DE) algorithm has been applied as a powerful tool to find optimum switching angles for selective harmonic elimination pulse width modulation (SHEPWM) inverters. However, the DE’s performace is very dependent on its control parameters. Conventional DE generally uses either trial and error mechanism or tuning technique to determine appropriate values of the control paramaters. The disadvantage of this process is that it is very time comsuming. In this paper, an adaptive control parameter is proposed in order to speed up the DE algorithm in optimizing SHEPWM switching angles precisely. The proposed adaptive control parameter is proven to enhance the convergence process of the DE algorithm without requiring initial guesses. The results for both negative and positive modulation index (M) also indicate that the proposed adaptive DE is superior to the conventional DE in generating SHEPWM switching patterns</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:date>2017-09-01</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://ijpeds.iaescore.com/index.php/IJPEDS/article/view/8378</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v8.i3.pp1381-1388</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 8, No 3: September 2017; 1381-1388</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/8378/7036</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Ismail Yusuf, Ayong Hiendro, F. Trias Pontia Wigyarianto, Kho Hie Khwee</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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