Control of pH in a Laboratory Fermenter Using Neuro-Fuzzy Technique

Authors:	Šperka Ľubomir, Slovak University of Technology, Slovakia (Slovak Republic) Mészáros Alois, Slovak University of Technology, Slovakia (Slovak Republic) Mizsey Peter, Budapest University of Technology and Economics, Hungary
Topic:	6.1 Chemical Process Control
Session:	Process Control Applications
Keywords:	pH control, neural networks, inverse dynamics, fuzzy system

Abstract

This contribution offers a new strategy, to augment the pH process control in a laboratory scale fermenter, based on inverse neural plant model. An integration term is introduced to improve the pure neural controller performance. This element, adjusted by a fuzzy system with respect to the control error, operates in parallel with neural controller to ensure offset-free performance in case of system uncertainties or model mismatch. Four fuzzy rules were applied to generate the integrator parameters. Experimental results demonstrate the usefulness of the fuzzy integrating term and the robustness of theproposed control system.