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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) · hlm. 1381–1388

DOI
10.11591/ijpeds.v8.i3.pp1381-1388
ISSN
2722-256X, 2088-8694
Terbit
2017-09-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

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

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  • Tanjungpura University
  • Institut Teknologi Medan
  • Universitas Prima Indonesia
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
JUNAIDI JUNAIDIAfiliasi tidak diketahui7
Fitriah HusinAfiliasi tidak diketahui6
Syaifurrahman SyaifurrahmanTanjungpura University3
Kho Hie KhweeAfiliasi tidak diketahui3
Trias Pontia WigyariantoAfiliasi tidak diketahui2
Yohannes M SimanjuntakAfiliasi tidak diketahui2
Suwarno SuwarnoInstitut Teknologi Medan2
M. IrwantoUniversitas Prima Indonesia2
Fitriah FitriahAfiliasi tidak diketahui2
F. Trias Pontia WigyariantoTanjungpura University1
Rudy GiantoAfiliasi tidak diketahui1
Neilcy T MooniarsihAfiliasi tidak diketahui1
Syafrudin MasriAfiliasi tidak diketahui1
Mohd HafeezAfiliasi tidak diketahui1

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) 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">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>
</oai_dc:dc>