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Intelligent control of a pH process

Alois Mészáros, Ľuboš Čirka, and Ľubomír Šperka

Institute of Information Engineering, Automation and Mathematics, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, SK-812 37 Bratislava, Slovakia

 

E-mail: alojz.meszaros@stuba.sk

Received: 20 June 2008  Revised: 24 October 2008  Accepted: 30 October 2008

Abstract: 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.

Keywords: pH process - intelligent control - neuro-fuzzy regulator

Full paper is available at www.springerlink.com.

DOI: 10.2478/s11696-009-0005-y

 

Chemical Papers 63 (2) 180–187 (2009)

Wednesday, February 26, 2020

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