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Comparison of two loss minimization algorithms for induction motors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145369" target="_blank" >RIV/00216305:26220/22:PU145369 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of two loss minimization algorithms for induction motors

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    PROCEEDINGS II OF THE 28TH STUDENT EEICT 2022 Selected Papers

  • ISBN

    978-80-214-6030-0

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    210-214

  • Publisher name

    Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno

  • Event date

    Apr 26, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article