Sensorless in duction Motor Drive Based on Reactive Power MRAS Estimator Using Artificial Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10255489" target="_blank" >RIV/61989100:27240/24:10255489 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10559577" target="_blank" >https://ieeexplore.ieee.org/document/10559577</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE61521.2024.10559577" target="_blank" >10.1109/EPE61521.2024.10559577</a>
Alternative languages
Result language
angličtina
Original language name
Sensorless in duction Motor Drive Based on Reactive Power MRAS Estimator Using Artificial Neural Network
Original language description
This paper describes the problematics of modeling advanced methods of control of an induction machine such as sensorless control with the use of type of reactive power model reference adaptive system (Q-MRAS) observer with a neural network. In the beginning, problematics of the sensorless control of an induction machine is proposed, mainly in the way of MRAS possibilities with a specific description of Q-MRAS. Then, variants of Q-MRAS implementations are mentioned, also with the modern use of artificial neural networks within the structure of this type of observer. Further, there is described the realization of the simulation model of Q-MRAS observer containing the artificial neural network in Matlab Simulink interface. Simulations are made for the different values of the desired speed and its step changes. In conclusion, there is discussed the suitability of this type of observer due to the simulation results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
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 2024 24th International Scientific Conference on Electric Power Engineering (EPE) : May 15-17, 2024, Hotel Dlouhé Stráně, Kouty nad Desnou, Czech Republic
ISBN
979-8-3503-4876-7
ISSN
2376-5623
e-ISSN
—
Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Kouty nad Desnou
Event date
May 15, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001261334000065