Adaptive type-2 fuzzy logic control of a bioreactor

作者：Galluzzo Mose^*; Cosenza Bartolomeo

来源：Chemical Engineering Science, 2010, 65(14): 4208-4221.

DOI：10.1016/j.ces.2010.04.023

• Process control
• Adaptive control
• Type-2 fuzzy logic control
• Stability
• Nonlinear dynamics
• Bioreactor

Two adaptive type-2 fuzzy logic controllers with minimum number of rules are developed and compared by simulation for control of a bioreactor in which aerobic alcoholic fermentation for the growth of Saccharomyces cerevisiae takes place. The bioreactor model is characterized by nonlinearity and parameter uncertainty. The first adaptive fuzzy controller is a type-2 fuzzy-neuro-predictive controller (T2FNPC) that combines the capability of type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a neural network model of the nonlinear system. The second adaptive fuzzy controller is instead a self-tuning type-2 PI controller, where the output scaling factor is adjusted online by fuzzy rules according to the current trend of the controlled process. The performance of a type-2 fuzzy logic controller with 49 rules is used as reference.

• 出版日期2010-7-15