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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: May 2017
Next issue: Aug 2017
Avg review time: 77 days


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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FEATURED ARTICLE

Broken Bar Fault Detection in IM Operating Under No-Load Condition, RELJIC, D., JERKAN, D., MARCETIC, D., OROS, D.
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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
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

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
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

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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  1/2010 - 21

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
 
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 (423 KB) | Citation | Downloads: 1,753 | Views: 3,316

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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Full text preview
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  «-- Click to see who has cited this paper

[1] Leonhard, W., "Control of Electrical Drives", Springer-Verlag, Berlin, 1985 [PermaLink]

[2] Kelemen, A., Imecs, M., "Vector Control of Induction Machine Drives", Vol. 1, OMIKK Publisher, Budapest, 1991

[3] Bose, B. K., "Power Electronics and AC Drives", Prentice Hall, Englewood Cliffs, New Jersey, 1986 [PermaLink]

[4] Pedrycz, W., "Fuzzy Control and Fuzzy System", John Wiley & Sons, Chichester, New York, 1989

[5] Kunz, U., "Regelung elektrischer Antriebe", Vorlesungsskript, Univ. of Siegen, Germany, 1992

[6] Wiesner, R. S., "Optimal rotor flux regulation for fast-accelerating induction machines in the field-weakening region", IEEE Transactions on Industry Applications, Vol. 34, No. 5, pp. 1081-1087, 1998
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 17]


[7] Birou, I., Imecs, M., "Speed control of induction motor drive with fuzzy-logic controller, based on a DSP computing system", Proceedings of the International Symposium on Power Electronics, Electrical Drives, Automation and Motion SPEEDAM'2000, Ischia, Italy, June 13-16, 2000, pp. 19-24, 2000

[8] Wang, L., "Adaptive Fuzzy Systems and Control. Design and Stability Analysis", Prentice Hall, Englewood Cliffs, New Jersey, 1994 [PermaLink]

[9] Tilli, T., "Fuzzy-Shell fur Windows", Version 1.2, Franzis-Verlag, Munchen, 1993

[10] * * * ANSIM Simulation Software, Department of Electrical Drives and Control, University of Erlangen-Nurnberg, 1989

References Weight

Web of Science® Citations for all references: 11 TCR
SCOPUS® Citations for all references: 17 TCR

Web of Science® Average Citations per reference: 1 ACR
SCOPUS® Average Citations per reference: 2 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 2017-08-16 11:11 in 13 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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