Detail publikace
Simulations of Loss Minimization Control Based on Motor Parameters for Indirect Field-oriented Control of Induction Motor
LAŽEK, T.
Originální název
Simulations of Loss Minimization Control Based on Motor Parameters for Indirect Field-oriented Control of Induction Motor
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper discusses a simulation of a loss minimization algorithm for induction motor drive. This algorithm, which is based on motor parameters, varies the flux linkage to obtain the lowest possible losses. Verification of the algorithm’s functionality was performed by simulations in MATLAB/SIMULINK environment. First, an induction machine model was built with the parameters of a real motor, taking into account magnetic saturation, Joule losses in both windings, iron losses, and mechanical losses. Then, simulations with indirect field-oriented control were performed. The simulations showed that there is an increase in efficiency in the low torque region.
Klíčová slova
energy efficiency, indirect field-oriented control, induction motor drives, loss minimization
Autoři
LAŽEK, T.
Vydáno
25. 4. 2023
Nakladatel
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Místo
Brno, Czech Republic
ISBN
978-80-214-6154-3
Kniha
PROCEEDINGS II OF THE 29TH STUDENT EEICT 2023 Selected Papers
Edice
1
ISSN
2788-1334
Periodikum
Proceedings II of the Conference STUDENT EEICT
Stát
Česká republika
Strany od
193
Strany do
197
Strany počet
5
URL
BibTex
@inproceedings{BUT184428,
author="Tomáš {Lažek}",
title="Simulations of Loss Minimization Control Based on Motor Parameters for Indirect Field-oriented Control of Induction Motor",
booktitle="PROCEEDINGS II OF THE 29TH STUDENT EEICT 2023 Selected Papers",
year="2023",
series="1",
journal="Proceedings II of the Conference STUDENT EEICT",
pages="193--197",
publisher="Brno University of Technology, Faculty of Elektronic Engineering and Communication",
address="Brno, Czech Republic",
doi="10.13164/eeict.2023.193",
isbn="978-80-214-6154-3",
issn="2788-1334",
url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf"
}