Design of a Fuzzy Logic Controller for Regulating Substrate Feed to Fed-Batch Fermentation

Fuzzy logic control based on the Takagi-Sugeno inference method has been applied for the regulation of feed rate to a fed-batch fermentation process. The process chosen is the baker's yeast fermentation. The simulation results show that the conventional fuzzy logic controller produces oscillations in the process response. To improve the performance of the conventional scheme, implementation of adaptive and hybrid control schemes are proposed. Significant improvements in the controller performance could be achieved by combining these two approaches. The adaptive control scheme reduces severe oscillations and the hybrid control scheme enhances control precision.

[1]  Kazuyuki Shimizu,et al.  Fuzzy Control of Fed-batch Fermentation with the Aid of Neural Networks , 1992 .

[2]  Kenichiro Hayashi,et al.  Fuzzy hybrid control using simplified indirect inference method , 1998, Fuzzy Sets Syst..

[3]  Lefteri H. Tsoukalas,et al.  Fuzzy and neural approaches in engineering , 1997 .

[4]  Leonid Reznik,et al.  PID plus fuzzy controller structures as a design base for industrial applications , 2000 .

[5]  M. Türker,et al.  Design and simulation of a fuzzy controller for fed-batch yeast fermentation , 1995 .

[6]  M. Taherzadeh,et al.  Use of dynamic step response for control of fed-batch conversion of lignocellulosic hydrolyzates to ethanol. , 2001, Journal of biotechnology.

[7]  R. Berber,et al.  Dynamic modeling, sensitivity analysis and parameter estimation of industrial yeast fermenters , 1997 .

[8]  H. Hapoglu,et al.  New tuning method for generalized predictive control of the production of S. cerevisiae. , 2001 .

[9]  Chyi-Tsong Chen,et al.  Robust controller design for interval process systems , 1997 .

[10]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[11]  Hisbullah,et al.  Comparative evaluation of various control schemes for fed-batch fermentation , 2002 .

[12]  Hale Hapoglu,et al.  The Effect of the Tuning Parameters on the Performance of the Parametric and Nonparametric Model Based Control Methods for Growth Medium Temperature of Baker's Yeast Production , 2001 .

[13]  Yong Soo Park,et al.  Application of fuzzy reasoning to control of glucose and ethanol concentrations in baker's yeast culture , 2004, Applied Microbiology and Biotechnology.

[14]  M. Ranganath,et al.  Genetic algorithm based fuzzy logic control of a fed-batch fermentor , 1999 .

[15]  Rimvydas Simutis,et al.  Bioprocess optimization and control: Application of hybrid modelling , 1994 .

[16]  S Shioya,et al.  Fuzzy control of ethanol concentration its application to maximum glutathione production in yeast fed‐batch culture , 1993, Biotechnology and bioengineering.

[17]  Manel Poch,et al.  Biomass Estimation in Plant Cell Cultures: A Neural Network Approach , 1995 .