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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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  3/2009 - 19
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 HIGH-IMPACT PAPER 

Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor

LAROUSSI, K. See more information about LAROUSSI, K. on SCOPUS See more information about LAROUSSI, K. on IEEExplore See more information about LAROUSSI, K. on Web of Science, ZELMAT, M. See more information about  ZELMAT, M. on SCOPUS See more information about  ZELMAT, M. on SCOPUS See more information about ZELMAT, M. on Web of Science, ROUFF, M. See more information about ROUFF, M. on SCOPUS See more information about ROUFF, M. on SCOPUS See more information about ROUFF, M. on Web of Science
 
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Download PDF pdficon (297 KB) | Citation | Downloads: 1,540 | Views: 5,942

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
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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.


References | Cited By  «-- Click to see who has cited this paper

[1] K. Laroussi, M. Zelmat, "Commande par logique floue d'un moteur a induction", SNCS'2001 Octobre Djelfa, Algeria

[2] Sicking, J.P. and Sillevis Smith, W.W. and van Nauta Lemke, H.R., "A design of a fuzzy supervisor for systems with a PID controller"

[3] Litt, J., "An expert system to perform on-line controller tuning", IEEE Control System, 1991, April, pp. 18-23
[CrossRef] [SCOPUS Times Cited 24]


[4] S. Saetieo, D. A. Torrey, "Fuzzy Logic control of a space vector PWM current regulator for three phase power converters", IEEE Trans. On Power Electronics, Vol.13, No.3, PP.419-426, May, 1998
[CrossRef]


[5] Sicking, J.P. and Sillevis Smith, W.W. and van Nauta Lemke, H.R., "A design of a fuzzy supervisor for systems with a PID controller"

[6] Van Nauta Lemke, "Design of fuzzy control systems", jornee de commande floue, 1991, Paris France

[7] L. Baghli, "Contribution a la commande de la machine asynchrone, utilisation de la logique floue, des reseaux de neurones et des algorithmes genetiques", These de Doctorat. 1999, Nancy, France Sous la Direction de M. J. Faucher.

[8] B. Chetate, A. Khaldoun, "Commande Indirecte a Flux Rotorique Oriente d'une Machine a Induction avec Adaptation de la Constante de Temps Rotorique par Logique Floue", First International Conference on Electrical Engineering, ICEE'2000

[9] H. Bhuler, "Reglage par logique floue", Presse Polytechnique et Universitaire Romandes, Lausane, 1994

[10] S. I. Smedley, "The Interpretation of Ionic Conductivity in Liquids", Plenum Press, 1980 [PermaLink]

[11] Babusta, R. And Horacek, P., "Laboratory Evaluation of fuzzy controllers", in the PREPRINTS of the IFAC/IFIP/IMACS International Symposium on artificial in real-time control, 1992, June 16-18 Delft, the Netherlands pp. 263-268
[CrossRef]


[12] Oliveira, P. And Lima, P. And Sentieiro, "Fuzzy supervision on intelligent control systems", European control conference, 1991, July 2-5, Grenoble, France, pp. 1226-1231

[13] Tzafestas, S. and Papanikolopoulos, N., "International Fuzzy expert PID control", IEEE transaction on industrial electronics, 1990, vol. 37, No. 5, October, pp. 365-371
[CrossRef] [Web of Science Times Cited 142] [SCOPUS Times Cited 201]


[14] A. Hazzab, I. K. Bousserhane, M. Zeebo and P. Pascard, "Real time implantation of fuzzy gain scheduling of PI controller for induction motor machine control", Neural Processing Letterers (2006) pp, 24:203-215, Springer
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 36]


References Weight

Web of Science® Citations for all references: 166 TCR
SCOPUS® Citations for all references: 261 TCR

Web of Science® Average Citations per reference: 12 ACR
SCOPUS® Average Citations per reference: 19 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-28 06:46 in 31 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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