Efficient MPC for permanent magnet synchronous motor

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F17%3A43932580" target="_blank" >RIV/49777513:23220/17:43932580 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/49777513:23520/17:43932580

Výsledek na webu

<a href="http://dx.doi.org/10.1109/MED.2017.7984092" target="_blank" >http://dx.doi.org/10.1109/MED.2017.7984092</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MED.2017.7984092" target="_blank" >10.1109/MED.2017.7984092</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Efficient MPC for permanent magnet synchronous motor

Popis výsledku v původním jazyce

The permanent magnet synchronous motor (PMSM) control poses a challenging task since the dynamics of the system is nonlinear, there are hard constraints, and computational costs should be kept as low as possible. One way how to satisfy all of the requirements is to use the model predictive control (MPC) with a small length of short horizon in the MPC criterion and then try to replace the remaining long-horizon part with an appropriate approximation. This paper develops the idea of the long-horizon part approximation by the expected time to reach the required state of the PMSM. The reason of using this expected time is properly justified here which simultaneously causes that the number of user-defined parameters is reduced to minimum. Then, the MPC controller for the PMSM utilizing this approximation is designed for continuous region of admissible control actions. The advantages of the designed control algorithm are demonstrated by numerical simulations.

Název v anglickém jazyce

Efficient MPC for permanent magnet synchronous motor

Popis výsledku anglicky

The permanent magnet synchronous motor (PMSM) control poses a challenging task since the dynamics of the system is nonlinear, there are hard constraints, and computational costs should be kept as low as possible. One way how to satisfy all of the requirements is to use the model predictive control (MPC) with a small length of short horizon in the MPC criterion and then try to replace the remaining long-horizon part with an appropriate approximation. This paper develops the idea of the long-horizon part approximation by the expected time to reach the required state of the PMSM. The reason of using this expected time is properly justified here which simultaneously causes that the number of user-defined parameters is reduced to minimum. Then, the MPC controller for the PMSM utilizing this approximation is designed for continuous region of admissible control actions. The advantages of the designed control algorithm are demonstrated by numerical simulations.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/GA15-12068S" target="_blank" >GA15-12068S: Adaptivní přístupy k odhadu stavu nelineárních stochastických systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2017 25th Mediterranean Conference on Control and Automation (MED)

ISBN

978-1-5090-4533-4

ISSN

2325-369X

e-ISSN

—

Počet stran výsledku

6

Strana od-do

36-41

Název nakladatele

IEEE

Místo vydání

Valleta

Místo konání akce

Valleta, Malta

Datum konání akce

3. 7. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000426926300007