Predictive control of PMSM using improved model of the drive
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43962947" target="_blank" >RIV/49777513:23220/21:43962947 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9589345" target="_blank" >https://ieeexplore.ieee.org/document/9589345</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IECON48115.2021.9589345" target="_blank" >10.1109/IECON48115.2021.9589345</a>
Alternative languages
Result language
angličtina
Original language name
Predictive control of PMSM using improved model of the drive
Original language description
The most common control algorithms for PMSM are based on simplified interpretation of the mathematical model, assuming strictly harmonic signals and linear distribution of the magnetic flux of permanent magnets in the air gap. Nevertheless neglected phenomenons in the mathematical mode leads to deterioration of the torque and overall it may lower the efficiency of the machine. Therefore in order to improve efficiency and torque quality, the aforementioned effects needs to be taken into account, when designing mathematical model, where, stator inductance and magnetic flux of permanent magnets are considered a function of the rotor position. the optimal reference current is no longer projected into d, q coordinated system as a static dc value, which significantly increase the demands on the tuning of cascade structure of PI controllers. An alternative is to use predictive control. In this paper we seek for simple and yet robust control with comparable results as a standard solution based on d, q coordinated system and linear controllers. For this purpose we use simple version of predictive control working with limited control action set (FCS-MPC) with precise model defined in rotating d, q reference frame The resulting algorithm provides high quality torque control performance while taking into account Joule losses in the motor.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IECON Proceedings – 47th Annual Conference of the IEEE Industrial Electronics Society
ISBN
978-1-66543-554-3
ISSN
1553-572X
e-ISSN
2577-1647
Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Piscaway
Event location
online, Toronto, Kanada
Event date
Oct 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000767230601110