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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) · pp. 453–463

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

Abstract

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.

Collaboration network of the authors

14 authors · 32 co-authorship links · 17 across different organisations

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

  • 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
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
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 BenmansourAffiliation unknown1
Fethi AkelRenewable Energy Development Center1

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">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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