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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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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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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.

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  3/2017 - 13

Centralized Gap Clearance Control for Maglev Based Steel-Plate Conveyance System

GUNEY, O. F. See more information about GUNEY, O. F. on SCOPUS See more information about GUNEY, O. F. on IEEExplore See more information about GUNEY, O. F. on Web of Science, BOZKURT, A. F. See more information about  BOZKURT, A. F. on SCOPUS See more information about  BOZKURT, A. F. on SCOPUS See more information about BOZKURT, A. F. on Web of Science, ERKAN, K. See more information about ERKAN, K. on SCOPUS See more information about ERKAN, K. on SCOPUS See more information about ERKAN, K. on Web of Science
Click to see author's profile in 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 (2,699 KB) | Citation | Downloads: 226 | Views: 876

Author keywords
DC-DC power converters, maximum power point trackers, photovoltaic cells, solar energy, solar power generation

References keywords
control(31), system(21), levitation(19), magnetic(15), steel(11), plate(11), systems(7), levitated(7), fuzzy(7), yang(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-08-31
Volume 17, Issue 3, Year 2017, On page(s): 101 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.03013
Web of Science Accession Number: 000410369500013
SCOPUS ID: 85028540526

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The conveyance of steel-plates is one of the potential uses of the magnetic levitation technology in industry. However, the electromagnetic levitation systems inherently show nonlinear feature and are unstable without an active control. Well-known U-shaped or E-shaped electromagnets cannot provide redundant levitation with multiple degrees of freedom. In this paper, to achieve the full redundant levitation of the steel plate, a quadruple configuration of U shaped electromagnets has been proposed. To resolve the issue of instability and attain more robust levitation, a centralized control algorithm based on a modified PID controller (I PD) is designed for each degree of freedom by using the Manabe canonical polynomial technique. The model of the system is carried out using electromechanical energy conversion principles and verified by 3-D FEM analysis. An experimental bench is built up to test the system performance under trajectory tracking and external disturbance excitation. The results confirm the effectiveness of the proposed system and the control approach to obtain a full redundant levitation even in case of disturbances. The paper demonstrates the feasibility of the conveyance of steel plates by using the quadruple configuration of U-shaped electromagnets and shows the merits of I-PD controller both in stabilization and increased robust levitation.

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

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References Weight

Web of Science® Citations for all references: 625 TCR
SCOPUS® Citations for all references: 907 TCR

Web of Science® Average Citations per reference: 18 ACR
SCOPUS® Average Citations per reference: 26 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 2019-05-22 08:14 in 192 seconds.

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