Speed estimators using stator resistance adaption for sensorless induction motor drive

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099927" target="_blank" >RIV/61989100:27240/16:86099927 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.15598/aeee.v14i3.1732" target="_blank" >http://dx.doi.org/10.15598/aeee.v14i3.1732</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15598/aeee.v14i3.1732" target="_blank" >10.15598/aeee.v14i3.1732</a>

Result language

angličtina

Original language name

Speed estimators using stator resistance adaption for sensorless induction motor drive

Original language description

The paper describes speed estimators for a speed sensorless induction motor drive with the direct torque and flux control. However, the accuracy of the direct torque control depends on the correct information of the stator resistance, because its value varies with working conditions of the induction motor. Hence, a stator resistance adaptation is necessary. Two techniques were developed for solving this problem: model reference adaptive system based scheme and artificial neural network based scheme. At first, the sensorless control structures of the induction motor drive were implemented in Matlab-Simulink environment. Then, a comparison is done by evaluating the rotor speed difference. The simulation results confirm that speed estimators and adaptation techniques are simple to simulate and experiment. By comparison of both speed estimators and both adaptation techniques, the current based model reference adaptive system estimator with the artificial neural network based adaptation technique gives higher accuracy of the speed estimation.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

<a href="/en/project/TE02000103" target="_blank" >TE02000103: Center for Intelligent Drives and Advanced Machine Control (CIDAM)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Advances in Electrical and Electronic Engineering

ISSN

1336-1376

e-ISSN

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Volume of the periodical

14

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

267-273

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-84988943370