Control of dual inverter with power losses minimization using SVPWM and prediction with extended horizon

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F18%3A43952547" target="_blank" >RIV/49777513:23220/18:43952547 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8591859" target="_blank" >https://ieeexplore.ieee.org/document/8591859</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IECON.2018.8591859" target="_blank" >10.1109/IECON.2018.8591859</a>

Result language
angličtina
Original language name
Control of dual inverter with power losses minimization using SVPWM and prediction with extended horizon
Original language description
This paper introduces a novel control method for a dual voltage source converter. The proposed method is focused on equal redistribution of power losses among the semiconductor switching devices (IGBTs), which leads to better power utilization of the converter. The main disadvantage of the known control methods for the mentioned converter based on PWM is its unequal distribution of power losses among the IGBTs. Furhermore, the PWM based algorithms are usually fast but the switching sequences have to be strictly defined for defined control requirements. The algorithms based on predictive control fulfill multicriteria control objectives but they are usually computationally demanding, particularly for longer prediction horizons. The proposed method combines advantages of both categories of control aproaches as e.g. calculation speed and constant switching frequency of PWM and multicriteria model predictive control with longer prediction horizon . The paper presents theoretical description and power losses distribution model design. Theoretical assumptions are verified by an extensive simulation study.
Czech name
—
Czech description
—

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings : IECON 2018 : 44th Annual Conference of the IEEE Industrial Electronics Society
ISBN
978-1-5090-6684-1
ISSN
1553-572X
e-ISSN
2577-1647
Number of pages
6
Pages from-to
1097-1102
Publisher name
IEEE
Place of publication
Piscataway
Event location
Washington DC, USA
Event date
Oct 20, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000505811101015

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