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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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  1/2015 - 15

Analysis of Torque Ripple Reduction in Induction Motor DTC Drive with Multiple Voltage Vectors

ROSIC, M. M. See more information about ROSIC, M. M. on SCOPUS See more information about ROSIC, M. M. on IEEExplore See more information about ROSIC, M. M. on Web of Science, BEBIC, M. Z. See more information about BEBIC, M. Z. on SCOPUS See more information about BEBIC, M. Z. on SCOPUS See more information about BEBIC, M. Z. on Web of Science
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Download PDF pdficon (2,603 KB) | Citation | Downloads: 453 | Views: 2,635

Author keywords
digital signal processors, induction motor, multilevel comparator, ripple reduction, torque control

References keywords
control(19), torque(18), induction(18), direct(14), machine(7), flux(7), stator(6), motor(6), inverter(6), machines(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 105 - 114
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01015
Web of Science Accession Number: 000352158600015
SCOPUS ID: 84924814410

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This paper shows an analysis of torque ripple reduction in modified DTC algorithm by using multiple voltage vectors with the appropriate multilevel hysteresis controller. A short theoretical background of classical and proposed DTC algorithm was given at the beginning. Experimental results of the proposed DTC algorithm, implemented on digital signal processor F2812, were analysed in comparison with classical DTC. It is shown that the torque ripple can be reduced by selecting voltage vectors with an appropriate intensity. Motor current oversampling was used to analyse the estimated torque behaviour during one DSP sampling period. Furthermore, the analysis of torque ripple reduction with oversampled torque values was conducted in relation to the number of available voltage vectors. The analysis shows that the proposed DTC algorithm allows significant torque ripple reduction while retaining the simplicity, small computational burden and good dynamic characteristics of the classical DTC.

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SCOPUS® Times Cited: 8
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Cited-By CrossRef

[1] Review of recent advancements of direct torque control in induction motor drives – a decade of progress, Kumar, Ravi Hemantha, Iqbal, Atif, Lenin, Natesan Chokkalingam, IET Power Electronics, ISSN 1755-4535, Issue 1, Volume 11, 2018.
Digital Object Identifier: 10.1049/iet-pel.2017.0252

[2] Speed Controlled Belt Conveyors: Drives and Mechanical Considerations, BEBIC, M. Z., RISTIC, L. B., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.01007
[CrossRef] [Full text]

[3] An Improved Scheme for Voltage Sag Override in Direct Torque Controlled Induction Motor Drives, Energies, ISSN 1996-1073, Issue 5, Volume 10, 2017.
Digital Object Identifier: 10.3390/en10050663

[4] Development of ANFIS-based reference flux estimator and FGS-tuned speed controller for DTC of induction motor, Sampath Kumar, S., Joseph Xavier, R., Balamurugan, S., Automatika, ISSN 0005-1144, Issue 1, Volume 59, 2018.
Digital Object Identifier: 10.1080/00051144.2018.1486796

[5] Electromotive force compensation in direct torque control with discretized voltage intensities, Rosic, Marko, Bjekic, Miroslav, Bebic, Milan, Jeftenic, Borislav, 2016 4th International Symposium on Environmental Friendly Energies and Applications (EFEA), ISBN 978-1-5090-0749-3, 2016.
Digital Object Identifier: 10.1109/EFEA.2016.7748810

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

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