|1/2015 - 15|
Analysis of Torque Ripple Reduction in Induction Motor DTC Drive with Multiple Voltage VectorsROSIC, M. M. , BEBIC, M. Z.
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digital signal processors, induction motor, multilevel comparator, ripple reduction, torque control
control(19), torque(18), induction(18), direct(14), machine(7), flux(7), stator(6), motor(6), inverter(6), machines(5)
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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
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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 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 [CrossRef]
 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 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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