Control of pH in a laboratory fermenter using neuro-fuzzy technique

L. Šperka, A. Mészáros, P. Mizsey, A. Andrášik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 the proposed control system.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Pages135-140
Number of pages6
Edition1
ISBN (Print)008045108X, 9780080451084
Publication statusPublished - Jan 1 2005

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1
Volume38
ISSN (Print)1474-6670

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Keywords

  • Fuzzy system
  • Inverse dynamics
  • Neural networks
  • pH control

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Šperka, L., Mészáros, A., Mizsey, P., & Andrášik, A. (2005). Control of pH in a laboratory fermenter using neuro-fuzzy technique. In Proceedings of the 16th IFAC World Congress, IFAC 2005 (1 ed., pp. 135-140). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 38, No. 1). IFAC Secretariat.