Sensorless Vector Control of Induction Motor with Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F03%3A00008228" target="_blank" >RIV/61989100:27240/03:00008228 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Sensorless Vector Control of Induction Motor with Neural Network
Original language description
Rotor position and speed sensors are required for vector control of induction motor. Because there are some applications in industry, where these sensors cannot be used, sensorless control technique should be used. In this paper rotor speed estimator areconsidered, which is based on feedforward artificial neural network. It is demonstrated that such estimator, in contrast to conventional model-based approaches, does not depend on a knowledge of machine parameters.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/LN00B029" target="_blank" >LN00B029: Centre of Materials and Technology Resaerch</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sborník konference Elektrotechnika a informatika 2003
ISBN
ISBN 80-7082-99
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
47-50
Publisher name
ZČU - Plzeň
Place of publication
Plzeň
Event location
Plzeň
Event date
Jan 1, 2003
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—