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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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  1/2010 - 21

 HIGH-IMPACT PAPER 

Indirect Vector Control of an Induction Motor with Fuzzy-Logic based Speed Controller

BIROU, I. See more information about BIROU, I. on SCOPUS See more information about BIROU, I. on IEEExplore See more information about BIROU, I. on Web of Science, MAIER, V. See more information about  MAIER, V. on SCOPUS See more information about  MAIER, V. on SCOPUS See more information about MAIER, V. on Web of Science, PAVEL, S. See more information about  PAVEL, S. on SCOPUS See more information about  PAVEL, S. on SCOPUS See more information about PAVEL, S. on Web of Science, RUSU, C. See more information about RUSU, C. on SCOPUS See more information about RUSU, C. on SCOPUS See more information about RUSU, C. on Web of Science
 
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Download PDF pdficon (423 KB) | Citation | Downloads: 2,251 | Views: 5,884

Author keywords
DSP-based computing system, field oriented control, fuzzy speed control, indirect vector control of induction machine

References keywords
control(6), fuzzy(5), drives(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-02-27
Volume 10, Issue 1, Year 2010, On page(s): 116 - 120
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.01021
Web of Science Accession Number: 000275458900021
SCOPUS ID: 77954687176

Abstract
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The aim of this paper is to present a new speed control structure for induction motors (IM) by using fuzzy-logic based speed controllers. A fuzzy controller is designed to achieve fast dynamic response and robustness for low and high speeds. Different types of membership functions of the linguistic variables and output/input characteristics are analyzed. A simple but robust structure enables a wide range speed control of the driving system. The rotor flux field oriented control (FOC) is realized by using a flux observer based on the IM model with nonlinear parameters. The control is extended to operate also in the field weakening region with an optimal rotor flux regulation. The control structure was implemented on a computer system, based on a fixed point digital signal processor (DSP). To verify the performances of the proposed driving system, simulated and experimental results are presented.


References | Cited By

Cited-By Clarivate Web of Science

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SCOPUS® Times Cited: 22
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Cited-By CrossRef

[1] Review and Investigation of Simplified Rules Fuzzy Logic Speed Controller of High Performance Induction Motor Drives, Tarbosh, Qazwan A., Aydogdu, Omer, Farah, Nabil, Talib, Md Hairul Nizam, Salh, Adeeb, Cankaya, Nihat, Omar, Fuad Alhaj, Durdu, Akif, IEEE Access, ISSN 2169-3536, Issue , 2020.
Digital Object Identifier: 10.1109/ACCESS.2020.2977115
[CrossRef]

[2] 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.
Digital Object Identifier: 10.4316/AECE.2011.01008
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[3] Controlling Speed in Induction Motors with Fuzzy Logic and a PI Controller, Deepika, Dewangan, Alka, Mishra, Surekha, Bhusnur, i-manager’s Journal on Electrical Engineering, ISSN 0973-8835, Issue 1, Volume 16, 2022.
Digital Object Identifier: 10.26634/jee.16.1.19132
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[4] Direct Torque Control of Induction Motor with Direct Calculation of Voltage Vector, BRANDSTETTER, P., CHLEBIS, P., PALACKY, P., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 10, 2010.
Digital Object Identifier: 10.4316/aece.2010.04003
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[5] System Modeling and Operational Characteristic Analysis for an Orbital Friction Vibration Actuator Used in Orbital Vibration Welding, XU, F., HU, J., LI, Y., ZOU, J., XU, Y., SHANG, J., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.02002
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[6] Estimating rotor resistance of wound rotor induction motor by look-up table and fuzzy logic approach, Venugopal, Chitra, African Journal of Science, Technology, Innovation and Development, ISSN 2042-1338, Issue 6, Volume 7, 2015.
Digital Object Identifier: 10.1080/20421338.2015.1096672
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[7] Sensorless Fuzzy Indirect Field Oriented Control Of Induction Motor Using Stator Current Based MRAS, Basha, C. Kamal, M, Surya Kalavathi, i-manager's Journal on Electrical Engineering, ISSN 0973-8835, Issue 1, Volume 5, 2011.
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[8] Improving the Energy Management of a Solar Electric Vehicle, GUNESER, M. T., ERDIL, E., CERNAT, M., OZTURK, T., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 15, 2015.
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[9] Speed Controlled Belt Conveyors: Drives and Mechanical Considerations, BEBIC, M. Z., RISTIC, L. B., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.01007
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[10] High-performance sensorless vector control of induction motor drives using artificial intelligent technique, Zerikat, M., Mechernene, A., Chekroun, S., European Transactions on Electrical Power, ISSN 1430-144X, Issue 1, Volume 21, 2011.
Digital Object Identifier: 10.1002/etep.477
[CrossRef]

[11] DYNAMIC ANALYSIS OF VECTOR CONTROLLED INDUCTION MOTOR USING ARTIFICIAL INTELLIGENT CONTROLLER, P.M, MENGHAL, BRAJPAL, SINGH, i-manager’s Journal on Instrumentation and Control Engineering, ISSN 2321-113X, Issue 4, Volume 4, 2016.
Digital Object Identifier: 10.26634/jic.4.4.8230
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[12] Investigation of the Computational Burden Effects of Self-Tuning Fuzzy Logic Speed Controller of Induction Motor Drives With Different Rules Sizes, Farah, Nabil, Nizam Talib, Md. Hairul, Ibrahim, Zulkifilie, Abdullah, Qazwan, Aydogdu, Omer, Azri, Maaspaliza, Mat Lazi, Jurifa Binti, Isa, Zainuddin Mat, IEEE Access, ISSN 2169-3536, Issue , 2021.
Digital Object Identifier: 10.1109/ACCESS.2021.3128351
[CrossRef]

[13] Application with a XY-plotter controlled by PLC used in student laboratory works, Rata, Mihai, Rata, Gabriela, 2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE), ISBN 978-1-4799-7514-3, 2015.
Digital Object Identifier: 10.1109/ATEE.2015.7133684
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[14] 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]

[15] Indirect field oriented control of induction motor (IM) drive using fuzzy logic controller (FLC), Soud Elabed, H., Mailef Ali, M., Abdulmalek Jamal, S., 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), ISBN 978-1-4673-6322-8, 2013.
Digital Object Identifier: 10.1109/ICIEA.2013.6566680
[CrossRef]

[16] Indirect field oriented adaptive control of induction motor based on neuro-fuzzy controller, Mechernene, A., Zerikat, M., Chekroun, S., 18th Mediterranean Conference on Control and Automation, MED'10, ISBN 978-1-4244-8091-3, 2010.
Digital Object Identifier: 10.1109/MED.2010.5547643
[CrossRef]

[17] Neural learning algorithm based rotor resistance estimation for fuzzy logic based sensorlless IFOC of induction motor, Chandran, Sreedev, 2014 International Conference on Power Signals Control and Computations (EPSCICON), ISBN 978-1-4799-3612-0, 2014.
Digital Object Identifier: 10.1109/EPSCICON.2014.6887479
[CrossRef]

[18] Increasing of the Elevator Noria Efficiency, Biliuk, Ivan, Shareyko, Dmitry, Savchenko, Oleg, Havrylov, Serhii, Mardziavko, Vitalii, Fomenko, Andrii, 2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES), ISBN 979-8-3503-4683-1, 2022.
Digital Object Identifier: 10.1109/MEES58014.2022.10005735
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[19] A novel self - Tuning fuzzy based PID controller for speed control of induction motor drive, Arun Kumar R, , Febin Daya J L,, 2013 International Conference on Control Communication and Computing (ICCC), ISBN 978-1-4799-0575-1, 2013.
Digital Object Identifier: 10.1109/ICCC.2013.6731625
[CrossRef]

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