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%3A00008229" target="_blank" >RIV/61989100:27240/03:00008229 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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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. It is further shown that accurate estimates can be obtained in situation of varying load without the need for explicit load monitoring.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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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
Conference Proceedings of 12th International Symposium on Power Electronics - Ee 2003
ISBN
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ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
University of Novi Sad
Place of publication
Novi Sad
Event location
Novi Sad, Serbia and Montenegro
Event date
Jan 1, 2003
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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