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Identification of Parameters of a 15 kW Induction Machine Implemented in FPGA - Processor System-On-Chip

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00336918" target="_blank" >RIV/68407700:21230/19:00336918 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identification of Parameters of a 15 kW Induction Machine Implemented in FPGA - Processor System-On-Chip

  • Original language description

    Induction machines are backbone of industrial drives with higher power as well as traction vehicles. The modern drive with induction machine is a complex system that needs to calculate the control algorithms in short time, perform the given task and communicate with its neighbourhood. The recent development in the field of control hardware brings the possible transition from drive specific microcontrollers to Systems on Chip (SoC) incorporating the Field Programmable Field Arrays (FPGA). This new flexibility and computational power that is offered by such systems can be used for improving dynamic properties and efficiency of the drive. This paper shows that such an improvement can be achieved with the help of parameter identification evaluated on a 15 kW particular induction machine.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Recenzovaný sborník příspěvků mezinárodní vědecké konference Mezinárodní Masarykova konference pro doktorandy a mladé vědecké pracovníky 2019

  • ISBN

    978-80-87952-31-3

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    1376-1384

  • Publisher name

    Magnanimitas

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Dec 16, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article