Title :
Genetic algorithms for optimal control of beer fermentation
Author :
Carrillo-Ureta, G.E. ; Roberts, P.D. ; Becerra, V.M.
Author_Institution :
Control Eng. Res. Centre, City Univ., London, UK
Abstract :
This paper uses genetic algorithms to optimise the mathematical model of a beer fermentation process that operates in batch mode. The optimisation is based in adjusting the temperature profile of the mixture during a fixed period of time in order to reach the required ethanol levels but considering certain operational and quality restrictions
Keywords :
batch processing (industrial); brewing industry; fermentation; genetic algorithms; optimal control; process control; temperature control; batch mode; beer fermentation process; ethanol; genetic algorithms; mathematical model; optimal control; temperature profile; Biomass; Chemical processes; Genetic algorithms; Inductors; MATLAB; Mathematical model; Nonlinear equations; Optimal control; Optimization methods; Temperature;
Conference_Titel :
Intelligent Control, 2001. (ISIC '01). Proceedings of the 2001 IEEE International Symposium on
Conference_Location :
Mexico City
Print_ISBN :
0-7803-6722-7
DOI :
10.1109/ISIC.2001.971541
