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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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2018-Jun-27
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.

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-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.

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  1/2017 - 9

Adaptive and Robust Sliding Mode Position Control of IPMSM Drives

ZAKY, M. See more information about ZAKY, M. on SCOPUS See more information about ZAKY, M. on IEEExplore See more information about ZAKY, M. on Web of Science, SHABAN, S., FETOUH, T. See more information about FETOUH, T. on SCOPUS See more information about FETOUH, T. on SCOPUS See more information about FETOUH, T. 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 (1,363 KB) | Citation | Downloads: 296 | Views: 905

Author keywords
adaptive sliding mode control, interior permanent magnet synchronous motor, linear quadratic regulator, position control

References keywords
control(26), motor(19), position(14), drive(12), sliding(10), adaptive(10), power(9), mode(9), induction(9), drives(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-02-28
Volume 17, Issue 1, Year 2017, On page(s): 61 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.01009
Web of Science Accession Number: 000396335900009
SCOPUS ID: 85014258422

Abstract
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This paper proposes an adaptive and robust sliding mode control (SMC) for the position control of Interior Permanent Magnet Synchronous Motor (IPMSM) drives. A switching surface of SMC is designed using a Linear Quadratic Regulator (LQR) technique to simultaneously control the tracking trajectory and load torque changes. The quadratic optimal control method is used to select the state feedback control gain that constitutes the system dynamic performance under uncertainties and disturbances. Feedback and switching gains are selected to satisfy both stability and fast convergence of the IPMSM. Matlab/Simulink is used to build the drive system. Experimental implementation of the IPMSM drive is carried out using DSP-DS1102 control board. The efficacy of the proposed position control method is validated using theoretical analysis and simulation and experimental results.


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

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[CrossRef] [SCOPUS Times Cited 10]


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References Weight

Web of Science® Citations for all references: 1,007 TCR
SCOPUS® Citations for all references: 1,404 TCR

Web of Science® Average Citations per reference: 32 ACR
SCOPUS® Average Citations per reference: 45 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 2018-11-15 08:18 in 211 seconds.




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