Design of Intelligent Controllers for Biotechnological Process

Mészáros, Alojz and Vöröš, Juraj Design of Intelligent Controllers for Biotechnological Process Acta Chimica Slovaca, Vol.1, No. 1, 2008, 208-220

Document type: Článok z časopisu / Journal Article
Collection: Acta Chimica Slovaca  
 
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Author(s) Mészáros, Alojz
Vöröš, Juraj
Title Design of Intelligent Controllers for Biotechnological Process
Journal name Acta Chimica Slovaca
Publication date 2008
Year available 2008
Volume number 1
Issue number 1
ISBN 978-80-227-2957-4
Start page 208
End page 220
Total pages 13
Place of publication Bratislava
Publisher Slovak Technical University
Collection year 2008
Language english
Subject 290000 Engineering and Technology
290600 Chemical Engineering
290602 Process Control and Simulation
Abstract/Summary This paper deals with intelligent controller design using artificial neural networks (ANN) in the role of feedback controllers. Neural controllers are built up and trained as inverse neural process models. Their performance and robustness are, gradually, improved and augmented by introducing, first, an adaptive simple integrator and, then, a controller with fuzzy integrator part. The proposed ANN control system performance is demonstrated a non-linear continuous biochemical process model with simulated uncertainties. MATLAB programme package environment has been used to build up and train the ANN feedback controllers.
Keyword(s) biochemical process
intelligent control
neural networks
 
 
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