Sensorless in duction Motor Drive Based on Reactive Power MRAS Estimator Using Artificial Neural Network

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Sensorless in duction Motor Drive Based on Reactive Power MRAS Estimator Using Artificial Neural Network

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Sensorless in duction Motor Drive Based on Reactive Power MRAS Estimator Using Artificial Neural Network

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

—

Počet stran výsledku

4

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Kouty nad Desnou

Datum konání akce

15. 5. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001261334000065