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ANN Speed Controller for Induction Motor Drive with Vector Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86080422" target="_blank" >RIV/61989100:27240/11:86080422 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    ANN Speed Controller for Induction Motor Drive with Vector Control

  • Original language description

    The paper describes application of artificial neural networks in the speed control of the induction motor drive with vector control. The predictive speed controller consists of one feedforward and one recurrent neural network. The weights and thresholdsof both artificial neural networks are constructed rather than trained and require no adaption during the control process. Such strategy allows for very efficient implementation of the controller using the digital signal processor. The speed control withthe ANN controller was experimental proved on the experimental stand with frequency converter and induction motor.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Review of Electrical Engineering-IREE

  • ISSN

    1827-6660

  • e-ISSN

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    IT - ITALY

  • Number of pages

    8

  • Pages from-to

    2947-2954

  • UT code for WoS article

    000300470400013

  • EID of the result in the Scopus database