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JCR Impact Factor: 0.595
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Issues per year: 4
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Next issue: May 2018
Avg review time: 107 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
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2017-Jan-30
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  4/2014 - 3

Implementation of Genetic Algorithm in Control Structure of Induction Motor A.C. Drive

BRANDSTETTER, P. See more information about BRANDSTETTER, P. on SCOPUS See more information about BRANDSTETTER, P. on IEEExplore See more information about BRANDSTETTER, P. on Web of Science, DOBROVSKY, M. See more information about  DOBROVSKY, M. on SCOPUS See more information about  DOBROVSKY, M. on SCOPUS See more information about DOBROVSKY, M. on Web of Science, KUCHAR, M. See more information about KUCHAR, M. on SCOPUS See more information about KUCHAR, M. on SCOPUS See more information about KUCHAR, M. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (891 KB) | Citation | Downloads: 582 | Views: 1,700

Author keywords
Artificial intelligence, genetic algorithms, induction motor, variable speed drive, vector control

References keywords
genetic(9), motor(8), drive(7), control(7), algorithm(7), systems(6), speed(5), intelligent(5), induction(5), controllers(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 15 - 20
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04003
Web of Science Accession Number: 000348772500003
SCOPUS ID: 84921640821

Abstract
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Modern concepts of control systems with digital signal processors allow the implementation of time-consuming control algorithms in real-time, for example soft computing methods. The paper deals with the design and technical implementation of a genetic algorithm for setting proportional and integral gain of the speed controller of the A.C. drive with the vector-controlled induction motor. Important simulations and experimental measurements have been realized that confirm the correctness of the proposed speed controller tuned by the genetic algorithm and the quality speed response of the A.C. drive with changing parameters and disturbance variables, such as changes in load torque.


References | Cited By

Cited-By ISI Web of Science

Web of Science® Times Cited: 7 [View]
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Updated 4 days, 2 hours ago


Cited-By CrossRef

SCOPUS® Times Cited: 9
View record in SCOPUS®
[Free preview]

Updated 4 days, 2 hours ago

Cited-By CrossRef

[1] Experimental Validation of an Eleven Level Symmetrical Inverter Using Genetic Algorithm and Queen Bee Assisted Genetic Algorithm for Solar Photovoltaic Applications, Gnanavel, C., Alexander, S. Albert, Journal of Circuits, Systems and Computers, ISSN 0218-1266, 2018.
Digital Object Identifier: 10.1142/S0218126618502122
[CrossRef]

[2] Multi-motor drive optimal control using a fuzzy model based approach, Perdukova, Daniela, Fedor, Pavol, Bacik, Jan, Hercko, Jozef, Rofar, Jan, Preuveneers, Davy, Ilie-Zudor, Elisabeth, Journal of Ambient Intelligence and Smart Environments, ISSN 1876-1372, Issue 3, Volume 9, 2017.
Digital Object Identifier: 10.3233/AIS-170433
[CrossRef]

[3] The measuring and control center for accumulation systems of electrical energy, Havel, Ales, Sobek, Martin, Palacky, Petr, Electrical Engineering, ISSN 0948-7921, Issue 4, Volume 99, 2017.
Digital Object Identifier: 10.1007/s00202-017-0619-y
[CrossRef]

[4] Control methods of modern systems utilizing accumulation of electrical energy, Havel, Ales, Sobek, Martin, Chamrad, Petr, 2017 18th International Scientific Conference on Electric Power Engineering (EPE), ISBN 978-1-5090-6406-9, 2017.
Digital Object Identifier: 10.1109/EPE.2017.7967338
[CrossRef]

[5] The control system of electrical energy accumulation, Palacky, Petr, Baresova, Katerina, Sobek, Martin, Havel, Ales, 2016 ELEKTRO, ISBN 978-1-4673-8698-2, 2016.
Digital Object Identifier: 10.1109/ELEKTRO.2016.7512094
[CrossRef]

[6] Power converters for coupling hydrogen-based technologies with lead-acid and LiFePO<inf>4</inf> batteries, Havel, Ales, Sobek, Martin, Chamrad, Petr, 2017 18th International Scientific Conference on Electric Power Engineering (EPE), ISBN 978-1-5090-6406-9, 2017.
Digital Object Identifier: 10.1109/EPE.2017.7967348
[CrossRef]

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Copyright ©2001-2018
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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