ISSN print edition: 0366-6352
ISSN electronic edition: 1336-9075
Registr. No.: MK SR 9/7
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
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.
Chemical Papers 63 (2) 180–187 (2009)
Wednesday, February 26, 2020