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JCR Impact Factor: 0.595
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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  1/2008 - 4

Speed Control of Switched Reluctance Motor Using Fuzzy Sliding Mode

TAHOUR, A. See more information about TAHOUR, A. on SCOPUS See more information about TAHOUR, A. on IEEExplore See more information about TAHOUR, A. on Web of Science, ABID, H. See more information about  ABID, H. on SCOPUS See more information about  ABID, H. on SCOPUS See more information about ABID, H. on Web of Science, AISSAOUI, A. G. See more information about AISSAOUI, A. G. on SCOPUS See more information about AISSAOUI, A. G. on SCOPUS See more information about AISSAOUI, A. G. on Web of Science
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Download PDF pdficon (444 KB) | Citation | Downloads: 1,108 | Views: 4,067

Author keywords
switched reluctance motor, sliding mode control, fuzzy logic and speed control

References keywords
control(8), fuzzy(7), sliding(6), reluctance(6), mode(6), switched(5), systems(4), motor(4), drives(4), design(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2008-04-02
Volume 8, Issue 1, Year 2008, On page(s): 21 - 25
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.01004
Web of Science Accession Number: 000259903500004
SCOPUS ID: 77949389356

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In this paper, a fuzzy logic controller (FLC) is designed, based on the similarity between the FLC and the sliding mode control (SMC), for a class of nonlinear system to tackle the nonlinear control problems with modelling uncertainties, plant parameters variations and external disturbances. The proposed scheme gives fast dynamic response with no overshoot and zero steady-state error. To show the validity and the effectiveness of the control method, simulations are performed for the speed control of a switched reluctance motor. The simulation results show that the controller designed is more effective than the conventional sliding mode controller in enhancing the robustness of control systems with high accuracy.

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

[1] T. J. E. Miller, "Brushless-permanent-magnetic and reluctance motor drives", Oxford Science Publication, 1989.

[2] R. Krishnan, "Switched reluctance motor drives modeling, simulation, analysis, design and applications", CRC Press, 2001.

[3] V. Utkin, J. Guldner, J. Shi, "Sliding mode control in electromechanical systems", Taylor and Francis, 1999.

[4] V. I. Utkin, "Sliding mode control design principles and applications to electric drives", IEEE Trans. Industrial Electronics, Vol. 40, No. 1, February 1993.
[CrossRef] [Web of Science Times Cited 814] [SCOPUS Times Cited 1185]

[5] S. K. Panda and P. K. Dash, "Application of nonlinear control to switched reluctance motors: A feedback linearization approach", Proc. Inst. Elect. Eng., vol. 143, pt. B, no. 5, pp. 371-379, 1996.
[CrossRef] [Web of Science Times Cited 53]

[6] W. Perruquetti, J. P. Barbot, "Sliding Mode Control In Engineering", Marcel Dekker, 2002.

[7] F. Soares and P.J. Costa Branco, "Simulation of a 6/4 Switched Reluctance Motor Based on Matlab/Simulink Environment", IEEE Transactions on Aerospace and Electronic Systems, Vol 37 pp. 989-1009, July 2001.
[CrossRef] [Web of Science Times Cited 104] [SCOPUS Times Cited 197]

[8] Tzu-Shien Chuang and Charles Pollock, Robust Speed Control of a Switched Reluctance Vector Drive Using Variable Structure Approach, IEEE Transactions On Industrial Electronics, Vol. 44, No. 6, 1997 pp. 800-808
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 38]

[9] I. Husain, S. Sodhi and M. Ehsani, "A sliding mode observer based controller for switched reluctance motor drives", Conference record of IEEE-IAS annual meeting, Denver, CO, pp. 635-643, 1994.

[10] J. J. E. Slotine , W. Li, "Applied nonlinear control", Prentice Hall, USA, 1998.

[11] H. Buhler, "Reglage par mode de glissement", Presses Polytechniques Romandes, Lausanne, 1986.

[12] Ji Chang Lo, Ya Hui Kuo, "Decoupled fuzzy sliding mode control", IEEE Trans. on Fuzzy Systems, vol. 6, no. 3, August 1998.
[CrossRef] [Web of Science Times Cited 151] [SCOPUS Times Cited 219]

[13] W. Kim, J. J. Lee, "Design of a fuzzy controller with fuzzy sliding surface", Fuzzy Sets Syst., vol. 71, 1995, pp. 359-367.
[CrossRef] [Web of Science Times Cited 139] [SCOPUS Times Cited 187]

[14] G. C. Hwang, S. C. Lin, "A stability approach to fuzzy control design for non linear systems", Fuzzy Sets Syst., vol. 48, 1992, pp. 279-287.
[CrossRef] [Web of Science Times Cited 184] [SCOPUS Times Cited 259]

References Weight

Web of Science® Citations for all references: 1,472 TCR
SCOPUS® Citations for all references: 2,085 TCR

Web of Science® Average Citations per reference: 105 ACR
SCOPUS® Average Citations per reference: 149 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 2018-01-22 12:55 in 65 seconds.

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

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