Influence of Switching Frequency on Torque Ripples in Model Predictive Control of Induction Motor Drive
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315638" target="_blank" >RIV/68407700:21230/17:00315638 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ECAI.2017.8166398" target="_blank" >http://dx.doi.org/10.1109/ECAI.2017.8166398</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ECAI.2017.8166398" target="_blank" >10.1109/ECAI.2017.8166398</a>
Alternative languages
Result language
angličtina
Original language name
Influence of Switching Frequency on Torque Ripples in Model Predictive Control of Induction Motor Drive
Original language description
The proper control of induction motor drive is an important task in many applications. Usually, the motor is supplied from voltage source inverter and the required voltage is calculated according to the actual and past states of the motor. Unlike this, the predictive methods calculate also the future state and adjust the voltage accordingly. The model predictive control method calculates the effects of all possible future states in the next step and chooses the best action according to desired criteria. In the paper, this method is employed in the induction motor drive and the influence of the switching frequency on the torque and flux waveform ripples are examined in simulation environment Matlab Simulink.
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/TE02000103" target="_blank" >TE02000103: Center for Intelligent Drives and Advanced Machine Control (CIDAM)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
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 of the 2017 9th International Conference on Electronics, Computers and Artifical Intelligence (ECAI)
ISBN
978-1-5090-6458-8
ISSN
1843-2115
e-ISSN
2378-7147
Number of pages
4
Pages from-to
—
Publisher name
IEEE
Place of publication
New York
Event location
Targoviste, Romania
Event date
Jun 29, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425865900014