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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  3/2020 - 8

Two Types of Fuzzy Logic Controllers for the Speed Control of the Doubly-Fed Induction Machine

SAIDI, A. See more information about SAIDI, A. on SCOPUS See more information about SAIDI, A. on IEEExplore See more information about SAIDI, A. on Web of Science, NACERI, F. See more information about  NACERI, F. on SCOPUS See more information about  NACERI, F. on SCOPUS See more information about NACERI, F. on Web of Science, YOUB, L. See more information about  YOUB, L. on SCOPUS See more information about  YOUB, L. on SCOPUS See more information about YOUB, L. on Web of Science, CERNAT, M. See more information about  CERNAT, M. on SCOPUS See more information about  CERNAT, M. on SCOPUS See more information about CERNAT, M. on Web of Science, GUASCH PESQUER, L. See more information about GUASCH PESQUER, L. on SCOPUS See more information about GUASCH PESQUER, L. on SCOPUS See more information about GUASCH PESQUER, L. on Web of Science
 
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Author keywords
induction motors, fuzzy logic, fuzzy control, velocity control, regulators, stability

References keywords
fuzzy(50), control(27), systems(23), induction(20), type(19), logic(19), controller(16), sliding(12), mode(11), machine(11)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-08-31
Volume 20, Issue 3, Year 2020, On page(s): 65 - 74
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.03008
Web of Science Accession Number: 000564453800008
SCOPUS ID: 85090323255

Abstract
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The paper presents two fuzzy logic control algorithms: type-1 and type-2. These two nonlinear techniques are used for adjust the speed control with a direct stator flux orientation control of a doubly fed induction motor. The effectiveness of the proposed control strategy is evaluated under different operating conditions such as of reference speed and for load torque step changes at nominal parameters and in the presence of parameter variation (stator resistance, rotor resistance and moment of inertia). The results of the simulation of the doubly fed induction motor velocity control have shown that fuzzy type-2 ensures better dynamic performances with respect to fuzzy type-1 control, even by parametric variations and external disturbances.


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 4,083 TCR
SCOPUS® Citations for all references: 78,877 TCR

Web of Science® Average Citations per reference: 80 ACR
SCOPUS® Average Citations per reference: 1,547 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-12-08 15:09 in 221 seconds.




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