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Optimisation of Power Consumption of Electric Drive With Induction Machine Through Online Parameter Identification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315210" target="_blank" >RIV/68407700:21230/17:00315210 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimisation of Power Consumption of Electric Drive With Induction Machine Through Online Parameter Identification

  • Original language description

    This paper concerns the influence of the incorrect parameter values of the mathematical model of the induction machine to power consumption of the electric drive in case of Filed Oriented Control (FOC). With the exception of stator resistance parameters for the model are not directly measurable and their values can change during the operation of the drive. One of the representations of mathematical model is presented and the influence of the wrong value of the rotor resistance is shown. Methods of obtaining the parameters are summarized and their benefits are presented compared to traditional laboratory tests. Online parameter identification methods are promising to allow the controller of the drive to respect the rotor resistance change and thus lower the power consumption of the drive.

  • 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

    2017

  • 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 | Research Track of the 8th Biannual CER Comparative European Research Conference

  • ISBN

    978-0-9935191-6-1

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    139-142

  • Publisher name

    Sciemcee Publishing

  • Place of publication

    London

  • Event location

    London

  • Event date

    Oct 30, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article