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LAŽEK, T.
Original Title
Simulations of Loss Minimization Control Based on Motor Parameters for Indirect Field-oriented Control of Induction Motor
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
energy efficiency, indirect field-oriented control, induction motor drives, loss minimization
Key words in English
Authors
Released
25.04.2023
Publisher
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Location
Brno, Czech Republic
ISBN
978-80-214-6154-3
Book
PROCEEDINGS II OF THE 29TH STUDENT EEICT 2023 Selected Papers
Edition
1
2788-1334
Periodical
Proceedings II of the Conference STUDENT EEICT
State
Czech Republic
Pages from
193
Pages to
197
Pages count
5
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf
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", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf" }