DocumentCode :
1128067
Title :
An adaptive fuzzy hybrid state observer for bioprocesses
Author :
Ascencio, Pedro ; Sbarbaro, Daniel ; De Azevedo, Sebastião Feyo
Author_Institution :
Dept. de Ingenieria Electr., Univ. de Concepcion, Chile
Volume :
12
Issue :
5
fYear :
2004
Firstpage :
641
Lastpage :
651
Abstract :
In order to monitor and control bioprocesses, online measurements of certain biological variables, like biomass concentration, are normally required. Unfortunately, there is a lack of highly reliable and low cost instruments for online measuring these important variables. These limitations have motivated the use of observers. This paper describes a state observer for bioprocesses based on a hybrid fuzzy model. The model combines the mass balances and a fuzzy inference system for approximating the uncertain dynamic of the kinetic reactions. The convergence, stability, and robustness of the observer are analyzed. The main features of this observer are illustrated by considering a lactic fermentation.
Keywords :
adaptive control; biocontrol; chemical variables control; fermentation; fuzzy systems; inference mechanisms; observers; reaction kinetics; adaptive fuzzy hybrid state observer; biological variables; bioprocesses control; fuzzy inference system; kinetic reaction; lactic fermentation; online measurement; Biological control systems; Biological system modeling; Biomass; Convergence; Costs; Fuzzy systems; Instruments; Kinetic theory; Monitoring; Robust stability; Adaptive observers; bioprocessors; fuzzy systems; nonlinear systems;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2004.834815
Filename :
1341431
Link To Document :
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