Intelligent control of a pH process

Mészáros, Alois, Čirka, Ľuboš and Šperka, Ľubomír Intelligent control of a pH process Chemical Papers, Vol.63, No. 2, 2009, 180-187

Document type: Článok z časopisu / Journal Article
Collection: Chemical papers  

Author(s) Mészáros, Alois
Čirka, Ľuboš
Šperka, Ľubomír
Title Intelligent control of a pH process
Journal name Chemical Papers
Publication date 2009
Year available 2009
Volume number 63
Issue number 2
ISSN 0366-6352
Start page 180
End page 187
Place of publication Poland
Publisher Versita
Collection year 2009
Language english
Subject 290000 Engineering and Technology
290600 Chemical Engineering
290602 Process Control and Simulation
Abstract/Summary A new strategy, to augment the pH process control is offered in this paper. The intelligent controller proposed herein is based on an inverse neural plant model. An integration term is introduced to improve the pure inverse neural controller performance. This element, adjusted by a fuzzy system with respect to the control error, operates in parallel with the neural controller to ensure offset-free performance, in case of system uncertainties or modelling mismatch. Four fuzzy rules were applied to generate the integrator parameters. Experimental results, carried out under pH control on a laboratory scale set-up, demonstrate the feasibility of the proposed control system.
 
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