INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Analysis of Direct Torque Controller Based on Space Vector Modulation with Adaptive Stator Flux Observer for Induction Motor Application
Authors Name:
Panisetty Sreenivasulu
, Karthik K , R Kiran Kumar
Unique Id:
IJSDR1705054
Published In:
Volume 2 Issue 5, May-2017
Abstract:
This paper describes a combination of direct torque control (DTC) and space vector modulation (SVM) for an adjustable speed sensor less induction motor (IM) drive. The motor drive is supplied by a two-level SVPWM inverter. The inverter reference voltage is obtained based on input-output feedback linearization control, using the IM model in the stator D–Q axes reference frame with stator current and flux vectors components as state variables. Moreover, a robust full-order adaptive stator flux observer is designed for a speed sensor less DTC-SVM system and a new speed-adaptive law is given. By designing the observer gain matrix based on state feedback Hȸ control theory, the stability and robustness of the observer systems are ensured. The stability of the speed adaptive stator flux observer is also guaranteed by the gain matrix in very low speed finally, the effectiveness and validity of the proposed control approach are verified by simulation results. Here we use MATLAB/Simulink for the simulation purpose, the proposed control algorithms are verified by extensive simulation results.
Keywords:
Direct Torque Control, Field oriented control, space vector modulation, Torque and flux control
Cite Article:
"Analysis of Direct Torque Controller Based on Space Vector Modulation with Adaptive Stator Flux Observer for Induction Motor Application", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 5, page no.312 - 320, May-2017, Available :http://www.ijsdr.org/papers/IJSDR1705054.pdf
Downloads:
000337071
Publication Details:
Published Paper ID: IJSDR1705054
Registration ID:170424
Published In: Volume 2 Issue 5, May-2017
DOI (Digital Object Identifier):
Page No: 312 - 320
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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