Autor(i):
M. Kvasnica – M. Herceg – Ľ. Čirka – M. Fikar
Názov:
Model predictive control of a CSTR: A hybrid modeling approach
Časopis:
Chemical papers
Rok:
2010
Zväzok:
64
Číslo:
3
Strany:
301–309
Jazyk:
angličtina
Anotácia:

This paper presents a case study of model predictive control (MPC) applied to a continuous stirred tank reactor (CSTR). It is proposed to approximate nonlinear behavior of a plant by several local linear models, enabling a piecewise affine (PWA) description of the model used to predict and optimize future evolution of the reactor behavior. Main advantage of the PWA model over traditional approaches based on single linearization is a significant increase of model accuracy which leads to a better control quality. It is also illustrated that, by adopting the PWA modeling framework, MPC strategy can be implemented using significantly less computational power compared to nonlinear MPC setups.


Kategória publikácie:
ADD – Vedecké práce v domácich karentovaných časopisoch
Oddelenie:
OIaRP
Vložil/Upravil:
Ing. Ľuboš Čirka, PhD.
Posledná úprava:
16.1.2012 09:25:40

Plný text:
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BibTeX:
@article{uiam906,
author={M. Kvasnica and M. Herceg and {\v{L}}. {\v{C}}irka and M. Fikar},
title={Model predictive control of a CSTR: A hybrid modeling approach},
journal={Chemical papers},
year={2010},
volume={64},
number={3},
pages={301-309},
annote={This paper presents a case study of model predictive control (MPC) applied to a continuous stirred tank reactor (CSTR). It is proposed to approximate nonlinear behavior of a plant by several local linear models, enabling a piecewise affine (PWA) description of the model used to predict and optimize future evolution of the reactor behavior. Main advantage of the PWA model over traditional approaches based on single linearization is a significant increase of model accuracy which leads to a better control quality. It is also illustrated that, by adopting the PWA modeling framework, MPC strategy can be implemented using significantly less computational power compared to nonlinear MPC setups.},
url={https://www.uiam.sk/assets/publication_info.php?id_pub=906}
}