Publication result detail

Comparison of two loss minimization algorithms for induction motors

LAŽEK, T.; PAZDERA, I.

Original Title

Comparison of two loss minimization algorithms for induction motors

English Title

Comparison of two loss minimization algorithms for induction motors

Type

Paper in proceedings (conference paper)

Original Abstract

This paper discusses two loss minimization algorithms for induction motor drives. Firstly, equivalent models in the form of Gamma and inverse Gamma are shown, from which the loss models were obtained. Then, the procedure for determining the two algorithms is presented. The results show that it is easier to determine the loss minimization algorithm for rotor flux. In terms of accuracy, both algorithms are similarly accurate.

English abstract

This paper discusses two loss minimization algorithms for induction motor drives. Firstly, equivalent models in the form of Gamma and inverse Gamma are shown, from which the loss models were obtained. Then, the procedure for determining the two algorithms is presented. The results show that it is easier to determine the loss minimization algorithm for rotor flux. In terms of accuracy, both algorithms are similarly accurate.

Keywords

calculation comparison, induction motor drives, loss minimization algorith, power losses

Key words in English

calculation comparison, induction motor drives, loss minimization algorith, power losses

Authors

LAŽEK, T.; PAZDERA, I.

RIV year

2023

Released

26.04.2022

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Location

Brno, Czech Republic

ISBN

978-80-214-6030-0

Book

PROCEEDINGS II OF THE 28TH STUDENT EEICT 2022 Selected Papers

Edition

1

Pages from

210

Pages to

214

Pages count

5

URL

BibTex

@inproceedings{BUT178934,
  author="Tomáš {Lažek} and Ivo {Pazdera}",
  title="Comparison of two loss minimization algorithms for induction motors",
  booktitle="PROCEEDINGS II OF THE 28TH STUDENT EEICT 2022 Selected Papers",
  year="2022",
  series="1",
  pages="210--214",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno, Czech Republic",
  isbn="978-80-214-6030-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf"
}