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Adaptation of predictive acoustic noise control of IM drive to variable operating conditions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F19%3A43955836" target="_blank" >RIV/49777513:23220/19:43955836 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8753187" target="_blank" >https://ieeexplore.ieee.org/document/8753187</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/PRECEDE.2019.8753187" target="_blank" >10.1109/PRECEDE.2019.8753187</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptation of predictive acoustic noise control of IM drive to variable operating conditions

  • Original language description

    Finite control set MPC of IM drive is known to produce a spread spectrum of the stator currents. Spectrum of the acoustic noise also exhibits higher spread than that of the PWM which may be perceived as more pleasant sound by humans. Predictive acoustic noise control has been recently proposed using FCS-MPC with additive term maximizing spectrum flatness of the emitted acoustic noise. It has been shown that the acoustic noise generated by this control has better properties than the conventional random PWM. In this contribution, we study variability of the acoustic model with respect to operating conditions. We show that constant penalization factors are not optimal. We design a measure of performance of the acoustic noise controller and propose a scheduling mechanism for adjustment of the penalization coefficient to optimize this measure. Since we require noise measurements, the procedure is expected to be used during commissioning of the drive.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/LO1607" target="_blank" >LO1607: RICE - New technologies and concepts for smart industrial system</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    Proceedings PRECEDE 2019 : 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

  • ISBN

    978-1-5386-9414-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    329-334

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Quanzhou, China

  • Event date

    May 31, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000490536300062