Design and Implementation of Adaptive NMPC in industrial applications: case study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10252116" target="_blank" >RIV/61989100:27240/22:10252116 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9805970" target="_blank" >https://ieeexplore.ieee.org/document/9805970</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCC54292.2022.9805970" target="_blank" >10.1109/ICCC54292.2022.9805970</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Design and Implementation of Adaptive NMPC in industrial applications: case study

Popis výsledku v původním jazyce

This paper deals with the design and implementation of adaptive nonlinear predictive control (NMPC). The resulting control system is deployed on a softPLC embedded target in real-time via the REXYGEN control system. The paper describes functional prototype using softPLC hosting the NMPC algorithm applied for a nonlinear system consisting of three coupled tanks. The NMPC algorithm is solved via the receding horizon control method (RHC), formulated as a nonlinear programming problem (NLP) and numerically computed using the SOLNP solver. The adaptivity is provided by online identification via moving horizon estimation (MHE), keeping the model updated to avoid a model-plant mismatch. The methodology described in this paper can be easily transferred to a wider group of industrial nonlinear processes. Such created control unit can run in a standalone mode or can be connected to some exiting control system providing a necessary computational power and thus upgrading the quality of control significantly.

Název v anglickém jazyce

Design and Implementation of Adaptive NMPC in industrial applications: case study

Popis výsledku anglicky

This paper deals with the design and implementation of adaptive nonlinear predictive control (NMPC). The resulting control system is deployed on a softPLC embedded target in real-time via the REXYGEN control system. The paper describes functional prototype using softPLC hosting the NMPC algorithm applied for a nonlinear system consisting of three coupled tanks. The NMPC algorithm is solved via the receding horizon control method (RHC), formulated as a nonlinear programming problem (NLP) and numerically computed using the SOLNP solver. The adaptivity is provided by online identification via moving horizon estimation (MHE), keeping the model updated to avoid a model-plant mismatch. The methodology described in this paper can be easily transferred to a wider group of industrial nonlinear processes. Such created control unit can run in a standalone mode or can be connected to some exiting control system providing a necessary computational power and thus upgrading the quality of control significantly.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Centrum výzkumu pokročilých mechatronických systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

2022 23RD INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC)

ISBN

978-1-66546-636-3

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

12-18

Název nakladatele

IEEE

Místo vydání

NEW YORK

Místo konání akce

Sinaia

Datum konání akce

29. 5. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000925203600003