Predictive control of parallel induction motors fed by single inverter with commmon current sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F18%3A43952542" target="_blank" >RIV/49777513:23220/18:43952542 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8591142" target="_blank" >https://ieeexplore.ieee.org/document/8591142</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IECON.2018.8591142" target="_blank" >10.1109/IECON.2018.8591142</a>
Alternative languages
Result language
angličtina
Original language name
Predictive control of parallel induction motors fed by single inverter with commmon current sensors
Original language description
Dual-motor single inverter drives reduce installation space, weight and overall costs. On the other hand, complexity of the control increases significantly, since the condition on each electric motor can vary in a wide range. Today, majority of control algorithms are based on field oriented control. The consequences of parallel connection of induction motors are addressed by prioritizing model of the motors with higher relevance to the control. The control problem becomes even more complicated when the drive is equipped with common sensors measuring phase currents at the inverter output only. Performance of the field oriented control strongly depends on the model with full state, which is not available trough measurement, due to the lack of current sensor for particular motors. We propose to simplify the model of dual motor drive and use it with finite control set model predictive control (FCS-MPC). The steady state solution of the control problem is used to improve the control performance. This is achieved as an additional term in the cost function. The algorithm is designed with respect to maximum simplicity and its properties are tested in simulations as well as in a real experiment on the laboratory prototype of a dual induction motor drive of rated power 2x4.5 kW.
Czech name
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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/LO1607" target="_blank" >LO1607: RICE - New technologies and concepts for smart industrial system</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings : IECON 2018 : 44th Annual Conference of the IEEE Industrial Electronics Society
ISBN
978-1-5090-6684-1
ISSN
1553-572X
e-ISSN
2577-1647
Number of pages
6
Pages from-to
5843-5848
Publisher name
IEEE
Place of publication
Piscataway
Event location
Washington DC, USA
Event date
Oct 20, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000505811105122