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Three-Level DTC Based on Fuzzy Logic and Neural Network of Sensorless DSSM Using Extended Kalman Filter

International Journal of Power Electronics and Drive Systems · Vol. 5 No. 4 (2015) · hlm. 453–463

DOI
10.11591/ijpeds.v5.i4.pp453-463
ISSN
2722-256X, 2088-8694
Terbit
2015-04-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

This paper presents a direct torque control is applied for salient-pole double star synchronous machine without mechanical speed and stator flux linkage sensors. The estimation is performed using the extended Kalman filter known by it is ability to process noisy discrete measurements. Two control approaches using fuzzy logic DTC, and neural network DTC are proposed and compared. The validity of the proposed controls scheme is verified by simulation tests of a double star synchronous machine. The stator flux, torque, and speed are determined and compared in the above techniques. Simulation results presented in this paper highlight the improvements produced by the proposed control method based on the extended Kalman filter under various operation conditions.

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  • Université Djilali de Sidi Bel Abbès
  • National Polytechnic School
  • University of Malaya
  • University Mohamed Boudiaf of M'sila
  • Université de Haute-Alsace
  • Renewable Energy Development Center
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Rekan penulisOrganisasiArtikel bersama
Bouziane MelianiUniversité Djilali de Sidi Bel Abbès1
Hechelef MohammedUniversité Djilali de Sidi Bel Abbès1
Sarra MassoumUniversité Djilali de Sidi Bel Abbès1
Ahmed MassoumUniversité Djilali de Sidi Bel Abbès1
Patrice WiraUniversité de Haute-Alsace1
Saad MekhilefUniversity of Malaya1
Adil AtouiNational Polytechnic School1
Mostefa KermadiUniversity of Malaya1
Mohamed Seghir BoucheritNational Polytechnic School1
Khelifa BenmansourAfiliasi tidak diketahui1
Fethi AkelRenewable Energy Development Center1

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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">Three-Level DTC Based on Fuzzy Logic and Neural Network of Sensorless DSSM Using Extended Kalman Filter</dc:title>
	<dc:creator>Benyoussef, Elakhdar</dc:creator>
	<dc:creator>Meroufel, Abdelkader</dc:creator>
	<dc:creator>Barkat, Said</dc:creator>
	<dc:description xml:lang="en-US">This paper presents a direct torque control is applied for salient-pole double star synchronous machine without mechanical speed and stator flux linkage sensors. The estimation is performed using the extended Kalman filter known by it is ability to process noisy discrete measurements. Two control approaches using fuzzy logic DTC, and neural network DTC are proposed and compared. The validity of the proposed controls scheme is verified by simulation tests of a double star synchronous machine. The stator flux, torque, and speed are determined and compared in the above techniques. Simulation results presented in this paper highlight the improvements produced by the proposed control method based on the extended Kalman filter under various operation conditions.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:date>2015-04-01</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/5080</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v5.i4.pp453-463</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 5, No 4: 2015; 453-463</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v5.i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5080/4567</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2015 Elakhdar Benyoussef, Abdelkader Meroufel, Said Barkat</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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