6533b854fe1ef96bd12adf4f

RESEARCH PRODUCT

Type-2 Fuzzy Control of a Bioreactor

Galluzzo MoseCosenza Bartolomeo

subject

Adaptive neuro fuzzy inference systemSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive controlArtificial neural networkNeuro-fuzzyComputer scienceFuzzy setFuzzy control systemEthanol fermentationFuzzy logicDefuzzificationNonlinear systemModel predictive controlControl theoryAdaptive systemAdaptive control Type-2 fuzzy control Non-linear systems UncertaintyProcess controlRobust control

description

Abstract—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 a n d i s characterized by nonlinearity and parameter uncertainty. Three type-2 fuzzy controllers heve been developed and tested by simulation: a simple type-2 fuzzy logic controller with 49 rules; a type-2 fuzzyneuro- predictive controller (T2FNPC); a t y p e -2 selftuning 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.

yearjournalcountryeditionlanguage
2009-11-01
http://hdl.handle.net/10447/57353