Direct speed control of a PMSM drive using SDRE and convex constrained optimization
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F18%3A43932178" target="_blank" >RIV/49777513:23220/18:43932178 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/67985556:_____/18:00481225
Výsledek na webu
<a href="http://ieeexplore.ieee.org/document/7994715/" target="_blank" >http://ieeexplore.ieee.org/document/7994715/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TIE.2017.2723872" target="_blank" >10.1109/TIE.2017.2723872</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Direct speed control of a PMSM drive using SDRE and convex constrained optimization
Popis výsledku v původním jazyce
The challenge for control of PMSM drives is to achieve high dynamics, accurate steady state performance and respect all constraints on input voltage and stator currents. Many partial results on each of these aspects are available. Recently, it has been shown that existing techniques can be combined with ideas from predictive control to achieve satisfaction of state constraints such as maximum current amplitude. In this paper, we propose to complement the direct speed control based state-dependent Riccati equation (SDRE) approach by explicit constraints on the current amplitude and the field weakening curve. Since cost-to-go function for SDRE is available, the problem is formulated as quadratic programming with quadratic constraint. The resulting controller achieves excellent steady state solution due to SDRE and satisfies constraints on the maximum current amplitude and field weakening operation. Experimental tests of the proposed cascade-free speed control are performed on a laboratory prototype of a 10.7 kW PMSM drive. The proposed optimization routine can be used to enforce state constraints in other unconstrained control methods.
Název v anglickém jazyce
Direct speed control of a PMSM drive using SDRE and convex constrained optimization
Popis výsledku anglicky
The challenge for control of PMSM drives is to achieve high dynamics, accurate steady state performance and respect all constraints on input voltage and stator currents. Many partial results on each of these aspects are available. Recently, it has been shown that existing techniques can be combined with ideas from predictive control to achieve satisfaction of state constraints such as maximum current amplitude. In this paper, we propose to complement the direct speed control based state-dependent Riccati equation (SDRE) approach by explicit constraints on the current amplitude and the field weakening curve. Since cost-to-go function for SDRE is available, the problem is formulated as quadratic programming with quadratic constraint. The resulting controller achieves excellent steady state solution due to SDRE and satisfies constraints on the maximum current amplitude and field weakening operation. Experimental tests of the proposed cascade-free speed control are performed on a laboratory prototype of a 10.7 kW PMSM drive. The proposed optimization routine can be used to enforce state constraints in other unconstrained control methods.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
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)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Transactions on Industrial Electronics
ISSN
0278-0046
e-ISSN
—
Svazek periodika
65
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
11
Strana od-do
532-542
Kód UT WoS článku
000416221000052
EID výsledku v databázi Scopus
2-s2.0-85040658807