Space Vector Modulation Technique for Direct Torque Control of Induction Motors

Authors(3) :-R. Kavitha, S. Poovizhi, M. R. Akila

The PWM principle is used to control the output voltage of the three-phase inverters. There are many possible PWM techniques proposed in literature. Among these the space-vector PWM (SVM) method is an advanced PWM method and is possibly the best among all the PWM techniques for variable-frequency drive applications.

The classical SVPWM which is used in the direct torque control of induction motor has the possible dynamic locus of the stator flux, and its different variation depending on the VSI states chosen. This locus is divided into six different sectors. The switching frequency used in this classical DTC method is high which causes switching losses.

A novel SVPWM technique is introduced to reduce the switching losses. In this technique the stator flux locus is divided into eight sectors. This concept can be applied to all control methods. Performance of torque and speed is not varied with six sector module

Authors and Affiliations

R. Kavitha
R. M. K College of Engineering and Technology, TamilNadu, India
S. Poovizhi
R. M. K College of Engineering and Technology, TamilNadu, India
M. R. Akila
R. M. K College of Engineering and Technology, TamilNadu, India

Induction Motor Drives, VSI, Torque Control, PWM, SVM, VSI

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Publication Details

Published in : Volume 1 | Issue 6 | November-December 2015
Date of Publication : 2015-12-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 477-483
Manuscript Number : IJSRSET15161
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

R. Kavitha, S. Poovizhi, M. R. Akila, " Space Vector Modulation Technique for Direct Torque Control of Induction Motors , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 6, pp.477-483, November-December-2015. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET15161

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