Efficient MPC for permanent magnet synchronous motor

Result code in 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>
Alternative codes found
RIV/49777513:23520/17:43932580
Result on the web
<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>

Result language
angličtina
Original language name
Efficient MPC for permanent magnet synchronous motor
Original language description
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.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA15-12068S" target="_blank" >GA15-12068S: Adaptive Approaches to State Estimation of Nonlinear Stochastic Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2017 25th Mediterranean Conference on Control and Automation (MED)
ISBN
978-1-5090-4533-4
ISSN
2325-369X
e-ISSN
—
Number of pages
6
Pages from-to
36-41
Publisher name
IEEE
Place of publication
Valleta
Event location
Valleta, Malta
Event date
Jul 3, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426926300007

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