EKF Digital Twinning of Induction Motor Drives for the Metaverse

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43966826" target="_blank" >RIV/49777513:23220/22:43966826 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9983341" target="_blank" >https://ieeexplore.ieee.org/document/9983341</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME54704.2022.9983341" target="_blank" >10.1109/ME54704.2022.9983341</a>

Result language
angličtina
Original language name
EKF Digital Twinning of Induction Motor Drives for the Metaverse
Original language description
This paper presents a feasible state estimation of speed sensorless rotor field oriented controlled induction motor (IM) drive based on an accurate Extended Kalman Filter (EKF) digital twin model. Digital Twin is one of the attractive trends for the drive industries which provides physical assets over different operating scenarios in a cost-effective platform with no risk. The practical digital twin of the drive system for the Metaverse environment requires precise mathematical model of the motor, EKF algorithm, appropriate state controllers, and voltage source inverter. The quality of the state estimation with EKF strongly depends on input voltages which mainly come from the inverter. Unlike the previous researches which have adopted low precise ideal inverter model, in this study, a high performance EKF observer is employed based on the practical model of the inverter with rigorously considering the dead-time effects and voltage drops of switching devices. Therefore, operation of the EKF observer with digital twin model of the drive system is validated on a 4kW induction motor using simulation results acquired from MATLAB/Simulink software.
Czech name
—
Czech description
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Project
<a href="/en/project/EF18_053%2F0016927" target="_blank" >EF18_053/0016927: Mobility of West Bohemian University in Pilsen</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika, ME 2022
ISBN
978-1-66541-040-3
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
398-403
Publisher name
IEEE
Place of publication
Piscataway
Event location
Pilsen, Czech Republic
Event date
Dec 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000947331700057

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