Improved model predictive control with extended horizon for dual inverter with real-time minimization of converter power losses

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F17%3A43932714" target="_blank" >RIV/49777513:23220/17:43932714 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/8071267/" target="_blank" >http://ieeexplore.ieee.org/document/8071267/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PRECEDE.2017.8071267" target="_blank" >10.1109/PRECEDE.2017.8071267</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Improved model predictive control with extended horizon for dual inverter with real-time minimization of converter power losses

Popis výsledku v původním jazyce

The paper is focused on reduction and balancing of power losses in a dual inverter. The proposed technique is based on finite control set model predictive control with two techniques which improve the behavior of the basic predictive algorithm to deal with different time constants in the system. The proposed algorithm uses approximation of the power losses by an exponential filter and furthermore, it combines this approximation with extended prediction horizon. The computational burden of the prediction horizon is reduced by the switching states preselection. The behavior of the system is then significantly improved with respect to balancing of power losses among the transistors and with respect to quality of the output current.

Název v anglickém jazyce

Improved model predictive control with extended horizon for dual inverter with real-time minimization of converter power losses

Popis výsledku anglicky

The paper is focused on reduction and balancing of power losses in a dual inverter. The proposed technique is based on finite control set model predictive control with two techniques which improve the behavior of the basic predictive algorithm to deal with different time constants in the system. The proposed algorithm uses approximation of the power losses by an exponential filter and furthermore, it combines this approximation with extended prediction horizon. The computational burden of the prediction horizon is reduced by the switching states preselection. The behavior of the system is then significantly improved with respect to balancing of power losses among the transistors and with respect to quality of the output current.

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)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings PRECEDE 2017 : 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

ISBN

978-1-5386-0507-3

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

48-53

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Pilsen, Czech republic

Datum konání akce

4. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—