Bayesian optimization FCS-MPC parameters for reduction of induction motor electromagnetic noise
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43959082" target="_blank" >RIV/49777513:23220/20:43959082 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9152217" target="_blank" >https://ieeexplore.ieee.org/document/9152217</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISIE45063.2020.9152217" target="_blank" >10.1109/ISIE45063.2020.9152217</a>
Alternative languages
Result language
angličtina
Original language name
Bayesian optimization FCS-MPC parameters for reduction of induction motor electromagnetic noise
Original language description
Acoustic noise is an issue associated with operation of electric drives. Using an inverter in variable speed drives usually increases the acoustic noise. The problem has been recently addressed using finite control set model predictive control, where the acoustic model of the drive was obtained by identification. The controller is a compromise between current tracking and noise suppression, which is governed by tuning parameters. Finding proper tuning parameters is typically a laborious task. In this work, we propose to use Bayesian optimization to tune weights of the acoustic model in the full algorithm. The results are illustrated experimentally on induction motor of rated power of 11kW.
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/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
Article name in the collection
2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) : /proceedings/
ISBN
978-1-72815-635-4
ISSN
2163-5145
e-ISSN
—
Number of pages
6
Pages from-to
271-276
Publisher name
IEEE
Place of publication
Piscataway
Event location
Delft, Netherlands
Event date
Jun 17, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000612836800043