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Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction MotorLAROUSSI, K. , ZELMAT, M. , ROUFF, M. |
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Author keywords
induction motor, fuzzy control, hybrid control, field orientation, supervisor
References keywords
fuzzy(8), control(8), floue(5), systems(4), logique(4), controller(4), commande(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 107 - 113
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03019
Web of Science Accession Number: 000271872000019
SCOPUS ID: 77954747548
Abstract
The simplicity of traditional regulators makes them popular and the most used solution in the nowadays industry. However, they suffer from some limitations and cannot deal with nonlinear dynamics and system parameters variation. In the literature, several strategies of adaptation are developed to alleviate these limitations. In this paper, we propose a combination of two strategies for PI parameters supervision and adaptation. We apply the obtained structure to the control of induction machine speed. Simulation and experimental results of the proposed schema show good performances as compared to two strategies. |
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[1] Optimal Fuzzy Controller Tuned by TV-PSO for Induction Motor Speed Control, KULIC, F., MATIC, D., DUMNIC, B., VASIC, V., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 11, 2011.
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[2] Experimental Study and Comparative Analysis of Transients of Induction Motor with Soft Starter Startup, DEACONU, S. I., TOPOR, M., POPA, G. N., BISTRIAN, D., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 10, 2010.
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[6] 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.
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[7] Load Frequency Control of Two Area Interconnected Power System Using Fuzzy Logic Control and PID Controller, Tur, Mehmet Rida, Wadi, Mohammed, Shobole, Abdulfetah, Ay, Selim, 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), ISBN 978-1-5386-5982-3, 2018.
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[8] Adaptive neural network PID controller for nonlinear systems, Bouzaiene, Ramzi, Hafsi, Sami, Bouani, Faouzi, 2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC), ISBN 978-1-6654-0270-5, 2021.
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Stefan cel Mare University of Suceava, Romania
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