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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1607" target="_blank" >LO1607: RICE – Nové technologie a koncepce pro inteligentní průmyslové systémy</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

—

Počet stran výsledku

6

Strana od-do

329-334

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Quanzhou, China

Datum konání akce

31. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000490536300062