Type-2 Fuzzy Control of a Bioreactor
In this paper the control of a bioprocess using an adaptive type-2 fuzzy logic controller is proposed. The process is concerned with the aerobic alcoholic fermentation for the growth of Saccharomyces Cerevisiae and is characterized by nonlinearity and parameter uncertainty. Threetype-2 fuzzy controllers hevebeen developed and tested by simulation: a simple type-2 fuzzy logic controller with 49 rules; a type-2 fuzzy-neuro-predictive controller (T2FNPC); a type-2 self-tuning fuzzy controller ( T2STFC). The T2FNPC combines the capability of the 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 non linear system. In the T2STFC the output scaling factor is adjusted on-line by fuzzy rules according to the current trend of the controlled process. T h e advantage of the proposed adaptive algorithms is to greatly decrease the number of rules needed for the control reducing the computational load and at same time assuring a robust control.
adaptive control type-2 fuzzy control non-linear system uncertainty
Cosenza Bartolomeo Galluzzo Mosè
Dipartimento di Ingegneria Chimica dei Processi e dei Materiali Universita degli Studi di Palermo Viale delle Scienze,ed.6,90128 Palermo,Italy
国际会议
上海
英文
1603-1607
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）