Control approaches of current-source rectifier : predictive control versus PWM-based linear control
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F17%3A43932965" target="_blank" >RIV/49777513:23220/17:43932965 - isvavai.cz</a>
Výsledek na webu
<a href="http://ieeexplore.ieee.org/document/8289263/" target="_blank" >http://ieeexplore.ieee.org/document/8289263/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PEDS.2017.8289263" target="_blank" >10.1109/PEDS.2017.8289263</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Control approaches of current-source rectifier : predictive control versus PWM-based linear control
Popis výsledku v původním jazyce
Nowadays, finite control set model predictive control (FCS-MPC) is very popular because it is effective, simple and suitable for control of various types of power converters. It is also a flexible tool because it evaluates an arbitrary cost function which directly influences converter behavior according to particular demand (i.e. shape of the current, switching frequency, switching losses etc.). However, some drawbacks of FCS-MPC, such as variable switching frequency or steady-state error, have also been reported. The limitation is also in the fact that efficient calculation is available only for very short prediction horizon (mostly one-step-ahead), otherwise the computational demand increases significantly. In this paper, we present a comparison and evaluation of the FCS-MPC improved with an approximation by an LQR (which enables an extension to long prediction horizons) and a widely used control with PI controller with space vector modulation (SVM). The comparison is performed on current-source rectifier (CSR) in terms of output current tracking quality, input current THD and switching frequency. Final results will be introduced by simulation study in MATLAB/Plecs and laboratory experiments.
Název v anglickém jazyce
Control approaches of current-source rectifier : predictive control versus PWM-based linear control
Popis výsledku anglicky
Nowadays, finite control set model predictive control (FCS-MPC) is very popular because it is effective, simple and suitable for control of various types of power converters. It is also a flexible tool because it evaluates an arbitrary cost function which directly influences converter behavior according to particular demand (i.e. shape of the current, switching frequency, switching losses etc.). However, some drawbacks of FCS-MPC, such as variable switching frequency or steady-state error, have also been reported. The limitation is also in the fact that efficient calculation is available only for very short prediction horizon (mostly one-step-ahead), otherwise the computational demand increases significantly. In this paper, we present a comparison and evaluation of the FCS-MPC improved with an approximation by an LQR (which enables an extension to long prediction horizons) and a widely used control with PI controller with space vector modulation (SVM). The comparison is performed on current-source rectifier (CSR) in terms of output current tracking quality, input current THD and switching frequency. Final results will be introduced by simulation study in MATLAB/Plecs and laboratory experiments.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS) : /proceedings/
ISBN
978-1-5090-2364-6
ISSN
—
e-ISSN
2164-5264
Počet stran výsledku
6
Strana od-do
418-423
Název nakladatele
IEEE
Místo vydání
Piscataway
Místo konání akce
Honolulu, Hawaii
Datum konání akce
12. 12. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—