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.
|Numero di pagine||14|
|Rivista||Chemical Engineering Science|
|Stato di pubblicazione||Published - 2010|
All Science Journal Classification (ASJC) codes