Predictive control of IM drive acoustic noise
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43955838" target="_blank" >RIV/49777513:23220/20:43955838 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8799016" target="_blank" >https://ieeexplore.ieee.org/document/8799016</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TIE.2019.2934087" target="_blank" >10.1109/TIE.2019.2934087</a>
Alternative languages
Result language
angličtina
Original language name
Predictive control of IM drive acoustic noise
Original language description
Acoustic behavior of electric drives is an important factor for their application in areas where humans expect certain comfort, such as in electric vehicles. The main problem addressed in this article is high tonality of noise emitted by conventional pulsewidth modulation (PWM) controlled drives. We propose to use an explicit model of the transfer function from the electric variables to the sound pressure with experimentally identified parameters. This model is then used to include acoustic quality into the cost function of the finite control set model predictive control (FCS-MPC). Specifically, we propose to penalize the sound pressure resonant frequencies in the spectrum of the direct flux component of the stator current vector. We study the impact of this penalization on acoustic properties of the drive measured by the sound pressure level and spectral flatness measure on three experimental induction machine (IM) drives of different power and acoustic environment. In comparison with the conventional PWM, random PWM, and FCS-MPC techniques, the proposed approach improves the tonality of the noise in terms of spectral flatness and in high-speed regimes it also improves total sound pressure level by several decibel.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Industrial Electronics
ISSN
0278-0046
e-ISSN
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Volume of the periodical
67
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
5666-5676
UT code for WoS article
000521375400041
EID of the result in the Scopus database
2-s2.0-85081789695