Sensorless Determination of Induction Motor Drive Speed Using MRAS Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00304214" target="_blank" >RIV/68407700:21230/16:00304214 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ECAI.2016.7861079" target="_blank" >http://dx.doi.org/10.1109/ECAI.2016.7861079</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ECAI.2016.7861079" target="_blank" >10.1109/ECAI.2016.7861079</a>
Alternative languages
Result language
angličtina
Original language name
Sensorless Determination of Induction Motor Drive Speed Using MRAS Method
Original language description
In most cases, using of an optical sensor represents the most common solution to obtain the induction motor actual speed. As in some cases the use of the speed sensor carries number of problems, an effort to find a solution that does not require a speed sensor is obvious in recent time. The paper presents some results of employing MRAS (Model Reference Adaptive System) method for sensorless induction motor shaft speed determination. The working principles and the possible algorithm mathematical derivation are described. Results of the drive performance simulation in MatLab/Simulink environment are presented. Finally, the algorithm is verified on the real induction motor drive utilizing dSPACE platform. Obtained results demonstrate good function and performance of the system.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2016 8th International Conference on Electronics, Computers and Artifical Intelligence (ECAI)
ISBN
978-1-5090-2046-1
ISSN
1843-2115
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
New York
Event location
Ploiești
Event date
Jun 30, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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