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Offline Induction Machine Parameters Identification Suitable for Self-commissioning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00314432" target="_blank" >RIV/68407700:21230/17:00314432 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.23919/AE.2017.8053587" target="_blank" >http://dx.doi.org/10.23919/AE.2017.8053587</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/AE.2017.8053587" target="_blank" >10.23919/AE.2017.8053587</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Offline Induction Machine Parameters Identification Suitable for Self-commissioning

  • Original language description

    Precise control methods of the electric drives with induction machines like field oriented control (FOC) or direct torque control (DTC) need an accurate model of the machine the control. Certain parameters of the model have to be obtained with sufficient accuracy before the drive can be put into operation. This article concerns an offline parameter identification method that is suitable for on-site drive commissioning as it does all the necessary measurements only with the means of the power converter 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

    2017 International Conference on Applied Electronics

  • ISBN

    978-80-261-0641-8

  • ISSN

    1803-7232

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    79-82

  • Publisher name

    University of West Bohemia

  • Place of publication

    Pilsen

  • Event location

    Pilsen

  • Event date

    Sep 5, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000427091900015