论文信息 - Application of fuzzy control theory to the sake brewing process

Application of fuzzy control theory to the sake brewing process

Abstract Know-how of skilled operators concerning the management of the traditional sake brewing process was analyzed using fuzzy control theory, and arranged as production rules having the following four fuzzy variables: if (DB = DBi) & (DD = DDi) & (AL = ALi) then (CT = CTi). Membership functions of DB and DD were arranged in real-time using a kinetic model proposed by us previously. Based on these control rules, a fuzzy control system for regulating the moromi (sake mash) temperature was constructed. A computer simulation of sake brewing indicated that the proposed control system could be applied to control the temperature along the desired curve of traditional sake brewing.

[1] Lotfi A. Zadeh,et al. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[2] P. Martin Larsen,et al. Industrial applications of fuzzy logic control , 1980 .

[3] Michimasa Kishimoto,et al. Application of the Fuzzy Theory to Simulation of Batch Fermentation , 1985 .

[4] Michio Sugeno,et al. Self-Organising Fuzzy Controller , 1984 .

[5] Akihisa Furukawa,et al. Adaptive control strategies for the mashing process in Sake brewing , 1986 .

[6] I. G. Umbers,et al. An analysis of human decision-making in cement kiln control and the implications for automation , 1980 .

[7] Hirokazu Ihara,et al. A Fuzzy Control for Train Automatic Stop Control , 1983 .

[8] Yoshinobu Tsuchiya,et al. Kinetic analysis for batch ethanol fermentation of Saccharomyces cerevisiae , 1987 .

[9] K Konstantinov,et al. Physiological state control of fermentation processes , 1989, Biotechnology and bioengineering.

[10] Jun-ichi Koizumi,et al. Performance of Sake mash brewing with fuzzy control , 1990 .

[11] Yoshinobu Tsuchiya,et al. Constructions of fuzzy rules and a fuzzy simulator based on the control techniques of Hiroshima Toji (Experts) , 1990 .