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Optimum Flux Search Control on Induction Motor Drive with Predictive Torque Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00346443" target="_blank" >RIV/68407700:21230/20:00346443 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/abstract/document/9269212" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9269212</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/EPE51172.2020.9269212" target="_blank" >10.1109/EPE51172.2020.9269212</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimum Flux Search Control on Induction Motor Drive with Predictive Torque Control

  • Original language description

    This work deals with a real-time optimum flux search control (SC). The method is integrated into Predictive Torque Control (PTC) of induction motor drive (IMD). The proposed predictive search control searches the optimum stator flux amplitude, at which the current amplitude is the lowest. The output of the SC is used as a reference for the PTC controller. As the control variable of the proposed SC, the predicted stator current vector amplitude is utilized. The method was verified experimentally on a laboratory drive with a 5.5 kW induction motor. The IMD achieves a current minimization while maintains the working point defined by the speed and load. The experiment shows good results during steady-state and sufficient performance during transients.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2020 21st International Scientific Conference on Electric Power Engineering (EPE)

  • ISBN

    978-1-7281-9479-0

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    Czechoslovakia Section IEEE

  • Place of publication

    Prague

  • Event location

    Prague

  • Event date

    Oct 19, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article