Adaptive Type-2 Fuzzy Logic Control of a Bioreactor

Mose' Galluzzo, Bartolomeo Cosenza

Risultato della ricerca: Articlepeer review

13 Citazioni (Scopus)

Abstract

Two adaptive type-2 fuzzy logic controllers with minimum number of rules are developed andcompared by simulation for control of a bioreactor in which aerobic alcoholic fermentation for thegrowth of Saccharomyces cerevisiae takes place. The bioreactor model is characterized by nonlinearityand parameter uncertainty. The first adaptive fuzzy controller is a type-2 fuzzy-neuro-predictivecontroller (T2FNPC) that combines the capability of type-2 fuzzy logic to handle uncertainties, with theability of predictive control to predict future plant performance making use of a neural network modelof the nonlinear system. The second adaptive fuzzy controller is instead a self-tuning type-2 PIcontroller, where the output scaling factor is adjusted online by fuzzy rules according to the currenttrend of the controlled process. The performance of a type-2 fuzzy logic controller with 49 rules is usedas reference.
Lingua originaleEnglish
pagine (da-a)4208-4221
Numero di pagine14
RivistaChemical Engineering Science
Volume65
Stato di pubblicazionePublished - 2010

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

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