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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Aug 2017
Next issue: Nov 2017
Avg review time: 107 days


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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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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LATEST NEWS

2017-Jun-14
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.

2017-Apr-04
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2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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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
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (444 KB) | Citation | Downloads: 1,103 | Views: 3,978

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

Abstract
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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.
[CrossRef]


[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 772] [SCOPUS Times Cited 1162]


[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 101] [SCOPUS Times Cited 193]


[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.
[CrossRef]


[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 149] [SCOPUS Times Cited 215]


[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 138] [SCOPUS Times Cited 186]


[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 182] [SCOPUS Times Cited 256]


References Weight

Web of Science® Citations for all references: 1,422 TCR
SCOPUS® Citations for all references: 2,050 TCR

Web of Science® Average Citations per reference: 102 ACR
SCOPUS® Average Citations per reference: 146 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 2017-10-22 08:30 in 162 seconds.




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


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