Predictive Control Using Neural Network Applied on Semi-batch Reactor
L. Macků, D. Sámek
Tomas Bata University in Zlin
Abstract
The article deals with the control of the semi-batch reactor that is used in chromium sludge processing. To simulate the real process a mathematical model including reaction kinetics was used. The parameters of the achieved model were obtained and verified by experiments. The control of the semi-batch reactor is difficult by common control methods because of the strongly exothermic chemical reaction. A model predictive control using artificial neural network is applied to the temperature control problem. The system control is generally complicated because of its nonlinearities.
Full paper
Session
Process Optimisation (Poster)
Reference
Macků, L.; Sámek, D.: Predictive Control Using Neural Network Applied on Semi-batch Reactor. Editors: Fikar, M. and Kvasnica, M., In Proceedings of the 18th International Conference on Process Control, Tatranská Lomnica, Slovakia, June 14 – 17, 378–382, 2011.
BibTeX
| @inProceedings{pc2011-088, | ||
| author | = { | Macku, L. and S\'amek, D.}, |
| title | = { | Predictive Control Using Neural Network Applied on Semi-batch Reactor}, |
| booktitle | = { | Proceedings of the 18th International Conference on Process Control}, |
| year | = { | 2011}, |
| pages | = { | 378-382}, |
| editor | = { | Fikar, M. and Kvasnica, M.}, |
| address | = { | Tatransk\'a Lomnica, Slovakia}, |
| publisher | = { | Slovak University of Technology in Bratislava}, |
| url | = { | http://www.kirp.chtf.stuba.sk/pc11/data/papers/088.pdf}} |