Publication detail

Simulations of Loss Minimization Control Based on Motor Parameters for Indirect Field-oriented Control of Induction Motor

LAŽEK, T.

Original Title

Simulations of Loss Minimization Control Based on Motor Parameters for Indirect Field-oriented Control of Induction Motor

Type

conference paper

Language

English

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.

Keywords

energy efficiency, indirect field-oriented control, induction motor drives, loss minimization

Authors

LAŽEK, T.

Released

25. 4. 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

ISBN

2788-1334

Periodical

Proceedings II of the Conference STUDENT EEICT

State

Czech Republic

Pages from

193

Pages to

197

Pages count

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"
}