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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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  1/2016 - 4

Energy Efficient Control of High Speed IPMSM Drives - A Generalized PSO Approach

GECIC, M. See more information about GECIC, M. on SCOPUS See more information about GECIC, M. on IEEExplore See more information about GECIC, M. on Web of Science, KAPETINA, M. See more information about  KAPETINA, M. on SCOPUS See more information about  KAPETINA, M. on SCOPUS See more information about KAPETINA, M. on Web of Science, MARCETIC, D. See more information about MARCETIC, D. on SCOPUS See more information about MARCETIC, D. on SCOPUS See more information about MARCETIC, D. on Web of Science
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Download PDF pdficon (1,399 KB) | Citation | Downloads: 565 | Views: 1,897

Author keywords
energy efficiency, field oriented control, high speed, permanent magnet synchronous motor, particle swarm optimization

References keywords
control(15), optimization(13), swarm(11), drives(11), electronics(10), pmsm(9), permanent(9), magnet(9), machines(9), iemdc(8)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-02-28
Volume 16, Issue 1, Year 2016, On page(s): 27 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.01004
Web of Science Accession Number: 000376995400004
SCOPUS ID: 84960102896

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In this paper, a generalized particle swarm optimization (GPSO) algorithm was applied to the problems of optimal control of high speed low cost interior permanent magnet motor (IPMSM) drives. In order to minimize the total controllable electrical losses and to increase the efficiency, the optimum current vector references are calculated offline based on GPSO for the wide speed range and for different load conditions. The voltage and current limits of the drive system and the variation of stator inductances are all included in the optimization method. The stored optimal current vector references are used during the real time control and the proposed algorithm is compared with the conventional high speed control algorithm, which is mostly voltage limit based. The computer simulations and experimental results on 1 kW low cost high speed IPMSM drive are discussed in details.

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

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References Weight

Web of Science® Citations for all references: 24,948 TCR
SCOPUS® Citations for all references: 3,089 TCR

Web of Science® Average Citations per reference: 780 ACR
SCOPUS® Average Citations per reference: 97 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 2019-05-20 07:49 in 211 seconds.

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