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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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  3/2018 - 6

 HIGH-IMPACT PAPER 

Design of an Adaptive Fuzzy Control System for Dual Star Induction Motor Drives

YOUB, L. See more information about YOUB, L. on SCOPUS See more information about YOUB, L. on IEEExplore See more information about YOUB, L. on Web of Science, BELKACEM, S. See more information about  BELKACEM, S. on SCOPUS See more information about  BELKACEM, S. on SCOPUS See more information about BELKACEM, S. on Web of Science, NACERI, F. See more information about  NACERI, F. on SCOPUS See more information about  NACERI, F. on SCOPUS See more information about NACERI, F. on Web of Science, CERNAT, M. See more information about  CERNAT, M. on SCOPUS See more information about  CERNAT, M. on SCOPUS See more information about CERNAT, M. on Web of Science, PESQUER, L. G. See more information about PESQUER, L. G. on SCOPUS See more information about PESQUER, L. G. on SCOPUS See more information about PESQUER, L. G. on Web of Science
 
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Download PDF pdficon (1,640 KB) | Citation | Downloads: 1,420 | Views: 4,377

Author keywords
adaptive control, fuzzy control, Lyapunov method, dual star induction motor

References keywords
induction(29), control(29), star(18), fuzzy(16), motor(14), dual(14), machine(13), double(13), speed(10), systems(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 37 - 44
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03006
Web of Science Accession Number: 000442420900006
SCOPUS ID: 85052130984

Abstract
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In this paper, a new control strategy is developed; an adaptive fuzzy controller based on Lyapunov's stability theory (AFLC) recalculates the real-time PI-fuzzy gains and combines the advantages of two robust techniques i.e. the fuzzy logic control and the adaptive one. For the new adaptive fuzzy control, we followed two steps: in the first one, a PI-fuzzy controller is designed, in the second step, the gains of a fuzzy regulator are determined. Extensive simulation results are presented to validate the proposed technique. The system is tested at different speeds and a very satisfactory performance has been achieved.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 7 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 14
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Cited-By CrossRef

[1] Power regulation of variable speed multi rotor wind systems using fuzzy cascaded control, Benbouhenni, Habib, Colak, Ilhami, Bizon, Nicu, Mosaad, Mohamed I., Tella, Teshome Goa, Scientific Reports, ISSN 2045-2322, Issue 1, Volume 14, 2024.
Digital Object Identifier: 10.1038/s41598-024-67194-4
[CrossRef]

[2] Real-Time Processor-in-Loop Investigation of a Modified Non-Linear State Observer Using Sliding Modes for Speed Sensorless Induction Motor Drive in Electric Vehicles, Krishna Srinivasan, Mohan, Daya John Lionel, Febin, Subramaniam, Umashankar, Blaabjerg, Frede, Madurai Elavarasan, Rajvikram, Shafiullah, G. M., Khan, Irfan, Padmanaban, Sanjeevikumar, Energies, ISSN 1996-1073, Issue 16, Volume 13, 2020.
Digital Object Identifier: 10.3390/en13164212
[CrossRef]

[3] Research on unmanned electric shovel autonomous driving path tracking control based on improved pure tracking and fuzzy control, Wu, Guohua, Wang, Guoqiang, Bi, Qiushi, Wang, Yongpeng, Fang, Yi, Guo, Guangyong, Qu, Wentao, Journal of Field Robotics, ISSN 1556-4959, Issue 7, Volume 40, 2023.
Digital Object Identifier: 10.1002/rob.22208
[CrossRef]

[4] Genetic algorithm and particle swarm optimization tuned fuzzy PID controller on direct torque control of dual star induction motor, Boukhalfa, Ghoulemallah, Belkacem, Sebti, Chikhi, Abdesselem, Benaggoune, Said, Journal of Central South University, ISSN 2095-2899, Issue 7, Volume 26, 2019.
Digital Object Identifier: 10.1007/s11771-019-4142-3
[CrossRef]

[5] Optimization of Fuzzy Controller for Predictive Current Control of Induction Machine, Varga, Toni, Benšić, Tin, Barukčić, Marinko, Štil, Vedrana Jerković, Electronics, ISSN 2079-9292, Issue 10, Volume 11, 2022.
Digital Object Identifier: 10.3390/electronics11101553
[CrossRef]

[6] Fuzzy-second order sliding mode control optimized by genetic algorithm applied in direct torque control of dual star induction motor, Boukhalfa, Ghoulemallah, Belkacem, Sebti, Chikhi, Abdesselem, Bouhentala, Moufid, Journal of Central South University, ISSN 2095-2899, Issue 12, Volume 29, 2022.
Digital Object Identifier: 10.1007/s11771-022-5028-3
[CrossRef]

[7] Designing Dynamic Positioning System Based on H∞ Robust Recurrent Cerebellar Model Articulation Controller, Ta, V.P, Dang, X.K, Dong, V.H, Do, V.D, 2018 4th International Conference on Green Technology and Sustainable Development (GTSD), ISBN 978-1-5386-5126-1, 2018.
Digital Object Identifier: 10.1109/GTSD.2018.8595553
[CrossRef]

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Stefan cel Mare University of Suceava, Romania


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