Adaptive type-2 fuzzy logic control of a bioreactor

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• 作者：Mosè ; Galluzzo ; Bartolomeo Cosenza
• 关键词：Process control ; Adaptive control ; Type-2 fuzzy logic control ; Stability ; Nonlinear dynamics ; Bioreactor
• 刊名：Chemical Engineering Science
• 出版年：2010
• 出版时间：15 July 2010
• 年：2010
• 卷：65
• 期：14
• 页码：4208-4221
• 全文大小：1787 K

文摘

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.