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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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2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  1/2011 - 8

 HIGH-IMPACT PAPER 

Optimal Fuzzy Controller Tuned by TV-PSO for Induction Motor Speed Control

KULIC, F. See more information about KULIC, F. on SCOPUS See more information about KULIC, F. on IEEExplore See more information about KULIC, F. on Web of Science, MATIC, D. See more information about  MATIC, D. on SCOPUS See more information about  MATIC, D. on SCOPUS See more information about MATIC, D. on Web of Science, DUMNIC, B. See more information about  DUMNIC, B. on SCOPUS See more information about  DUMNIC, B. on SCOPUS See more information about DUMNIC, B. on Web of Science, VASIC, V. See more information about VASIC, V. on SCOPUS See more information about VASIC, V. on SCOPUS See more information about VASIC, V. on Web of Science
 
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Download PDF pdficon (776 KB) | Citation | Downloads: 2,672 | Views: 5,279

Author keywords
fuzzy logic, speed control, proportional-integral controller, swarm particle optimization, induction motor

References keywords
control(11), fuzzy(8), drives(6), controller(6), induction(5), vector(4), tuning(4), speed(4), motor(4), matic(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-02-27
Volume 11, Issue 1, Year 2011, On page(s): 49 - 54
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.01008
Web of Science Accession Number: 000288761800008
SCOPUS ID: 79955979236

Abstract
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This paper reports an automated procedure for the design of an optimal fuzzy logic controller to be used as an induction motor speed controller. The procedure consists of selection of a suitable well known fuzzy logic controller and tuning via particle swarm optimization optimal for the selected criteria. In this way the time required for tuning of the controller is significantly reduced in comparison with trial and error methods. As a benchmark a proportional-integral (PI) controller is used. The PI controller is tuned via the symmetrical optimum procedure, the standard procedure for tuning a speed controller of an induction motor. Simulation results are obtained via a mathematical model developed in Matlab/Simulink. Experimental verification is carried out with a laboratory model based on the DS1104 digital control card. To minimize iron losses and to provide better motor performance for low loads, flux is reduced from nominal and speed is kept below nominal. Results are presented in tables and graphics. The optimal fuzzy logic controller provides a slight practical advantage.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 11 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 11
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Cited-By CrossRef

[1] Tuning of output scaling factor in PI-like fuzzy controllers for power converters using PSO, Erdem, Hamit, Altinoz, Okkes Tolga, Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, Issue 5, Volume 30, 2016.
Digital Object Identifier: 10.3233/IFS-152020
[CrossRef]

[2] An Improved Vector Control of an Induction Motor Based on Flatness, Fan, Liping, Zhang, Liang, Procedia Engineering, ISSN 1877-7058, Issue , 2011.
Digital Object Identifier: 10.1016/j.proeng.2011.08.116
[CrossRef]

[3] Vibration Based Broken Bar Detection in Induction Machine for Low Load Conditions, MATIC, D., KANOVIC, Z., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.01007
[CrossRef] [Full text]

[4] Fuzzy Based Flatness Control of an Induction Motor, Fan, Liping, Zhang, Liang, Procedia Engineering, ISSN 1877-7058, Issue , 2011.
Digital Object Identifier: 10.1016/j.proeng.2011.11.2467
[CrossRef]

[5] Event-triggered control optimal tuning through bio-inspired optimization in robotic manipulators, Benitez-Garcia, Saul Enrique, Villarreal-Cervantes, Miguel Gabriel, Mezura-Montes, Efrén, ISA Transactions, ISSN 0019-0578, 2021.
Digital Object Identifier: 10.1016/j.isatra.2021.10.029
[CrossRef]

[6] ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.03006
[CrossRef] [Full text]

[7] Sensorless speed control of a 3 phased asynchronous machine based on MRAS observer and fuzzy logic control technique, Rkiai, Chaima, Chaouali, Houssem, Othmani, Hichem, Mami, Abdelkader, 2017 International Conference on Engineering & MIS (ICEMIS), ISBN 978-1-5090-6778-7, 2017.
Digital Object Identifier: 10.1109/ICEMIS.2017.8273040
[CrossRef]

[8] A novel sensorless field oriented controller for Permanent Magnet Synchronous Motors, Aygun, Hilmi, Gokdag, Mustafa, Aktas, Mustafa, Cernat, Mihai, 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), ISBN 978-1-4799-2399-1, 2014.
Digital Object Identifier: 10.1109/ISIE.2014.6864700
[CrossRef]

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