Estimation techniques for sensorless speed control of induction motor drive

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F06%3A00013569" target="_blank" >RIV/61989100:27240/06:00013569 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Estimation techniques for sensorless speed control of induction motor drive
Original language description
Rotor position and speed sensors are required for vector control of induction motor. These sensors are sources of trouble, mainly in hostile environments, and their application reduces the drive robustness. The cost of the sensors is not also negligible.All the reasons lead to development of different sensorless methods for rotor position and mechanical speed estimation in electrical drives. The paper deals with the speed estimators for applications in sensorless induction motor drive with vector control, which are based on application of Kalman filter and artificial neural network. The development and DSP implementation of the speed estimators for applications in sensorless drives with induction motor are described in the paper.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F05%2F2080" target="_blank" >GA102/05/2080: Research on applications of artificial intelligence in the control of electrical drives</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE International Symposium on Industrial Electronics
ISBN
978-1-4244-0496-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
NEW YORK
Event location
Montreal, CANADA
Event date
Jul 9, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000244382900027

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