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Sensorless Determination of Induction Motor Drive Speed Using MRAS Method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00304214" target="_blank" >RIV/68407700:21230/16:00304214 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ECAI.2016.7861079" target="_blank" >http://dx.doi.org/10.1109/ECAI.2016.7861079</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ECAI.2016.7861079" target="_blank" >10.1109/ECAI.2016.7861079</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sensorless Determination of Induction Motor Drive Speed Using MRAS Method

  • Original language description

    In most cases, using of an optical sensor represents the most common solution to obtain the induction motor actual speed. As in some cases the use of the speed sensor carries number of problems, an effort to find a solution that does not require a speed sensor is obvious in recent time. The paper presents some results of employing MRAS (Model Reference Adaptive System) method for sensorless induction motor shaft speed determination. The working principles and the possible algorithm mathematical derivation are described. Results of the drive performance simulation in MatLab/Simulink environment are presented. Finally, the algorithm is verified on the real induction motor drive utilizing dSPACE platform. Obtained results demonstrate good function and performance of the system.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • 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 of the 2016 8th International Conference on Electronics, Computers and Artifical Intelligence (ECAI)

  • ISBN

    978-1-5090-2046-1

  • ISSN

    1843-2115

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Ploiești

  • Event date

    Jun 30, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article