DocumentCode :
3778475
Title :
Model based predictive strategy for dissolved oxygen control applied to a batch bioprocess
Author :
Alex Alzate;Adriana Amicarelli;Lina G?mez;Fernando di Sciascio
Author_Institution :
Universidad Nacional de San Juan, San Juan Capital, San Juan, Argentina
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes a novel Model Predictive Control strategy of dissolved oxygen (DO). The control design finds application on the Bt delta-endotoxins batch process production. This strategy improves the DO control by preventing the usual drawbacks that appear with a step level change in the DO reference profile. Simulations results are provided as well as comparison results against a well-known Lyapunov based controller and a classical PID controller.
Keywords :
"Decision support systems","Batch production systems","Biological system modeling","Predictive models","Microorganisms","Crystals"
Publisher :
ieee
Conference_Titel :
Information Processing and Control (RPIC), 2015 XVI Workshop on
Type :
conf
DOI :
10.1109/RPIC.2015.7497147
Filename :
7497147
Link To Document :
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