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Application of BEMF-MRAS with Kalman filter in sensorless control of induction motor drive

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238411" target="_blank" >RIV/61989100:27240/17:10238411 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s00202-017-0613-4" target="_blank" >http://dx.doi.org/10.1007/s00202-017-0613-4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00202-017-0613-4" target="_blank" >10.1007/s00202-017-0613-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of BEMF-MRAS with Kalman filter in sensorless control of induction motor drive

  • Original language description

    This paper describes an induction motor speed estimation using the observer with back electromotive force-based model reference adaptive system and Kalman filter. In the first part of the paper, there is a mathematical description of the rotor speed observer. The second part of the paper includes Kalman filter that is used for the filtration of measured stator currents and obtaining their time derivatives. The third part contains a description of the laboratory workplace with the induction motor drive and active load unit that was used for an experimental verification of the rotor speed observer. The last section of the paper shows experimental results that were obtained for different changes in the induction motor speed. The experimental results confirmed expected dynamic properties of the induction motor drive with sensorless control.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/TE02000103" target="_blank" >TE02000103: Center for Intelligent Drives and Advanced Machine Control (CIDAM)</a><br>

  • 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

  • Name of the periodical

    Electrical Engineering

  • ISSN

    0948-7921

  • e-ISSN

  • Volume of the periodical

    99

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    10

  • Pages from-to

    1151-1160

  • UT code for WoS article

    000415972700003

  • EID of the result in the Scopus database

    2-s2.0-85026915064