Application of Model Predictive Controller to Magnetic Levitation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F23%3A39920927" target="_blank" >RIV/00216275:25530/23:39920927 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10217631" target="_blank" >https://ieeexplore.ieee.org/document/10217631</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PC58330.2023.10217631" target="_blank" >10.1109/PC58330.2023.10217631</a>

Result language
angličtina
Original language name
Application of Model Predictive Controller to Magnetic Levitation
Original language description
Model Predictive Control (MPC) is an advanced process control method that is widely used for controlling both linear and under some modifications for non-linear systems. The aim of this work is to show a way how to apply MPC to a non-linear Magnetic Levitation System (MLS) and its capability of stabilization and closed-loop performance. This work is a continuation of the previous article where the laboratory plant CE 152 MLS was identified, and a non-linear model was designed. This paper proposes a control circuit consisting of linearized discretized non-linear MLS model, Extended Kalman Filter (EKF) algorithm for state estimation and linear MPC. The results are verified in simulation and real-world experiment.
Czech name
—
Czech description
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Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Process control 23 : proceedings of the 2023 24th international conference on process control (PC)
ISBN
979-8-3503-4762-3
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
90-95
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Štrbské Pleso
Event date
Jun 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001058530100016

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