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Optimal Fuzzy Controller Tuned by TV-PSO for Induction Motor Speed ControlKULIC, F.   , MATIC, D. , DUMNIC, B. , VASIC, V. |
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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
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. |
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[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] Optimizing Motor Performance with Improved Fractional Order Darwinian Particle Swarm Optimization and Fuzzy Logic Controllers: A Comparative Study in Torque Control, Ajmal Mahasin, M. Mohamed, Sanjay, R., Rathinavel, D., Raviprakash, E., Vinubalan, V., Nwulu, N., Natarajan, K., Shanmugasundaram, R., Balachandran, P.K., Krishnamoorthy, M., Mounica, P., E3S Web of Conferences, ISSN 2267-1242, Issue , 2024.
Digital Object Identifier: 10.1051/e3sconf/202454701018 [CrossRef]
[5] 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]
[6] 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, Issue , 2022.
Digital Object Identifier: 10.1016/j.isatra.2021.10.029 [CrossRef]
[7] 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]
[8] 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]
[9] 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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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.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
