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Control Studies in an Industrial Apple Juice Evaporator
Author(s) -
LOZANO J. E.,
ELUSTONDO M. P.,
ROMAGNOLI J. A.
Publication year - 1984
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1365-2621.1984.tb12813.x
Subject(s) - evaporator , computer science , model predictive control , process engineering , set (abstract data type) , identification (biology) , control (management) , set point , point (geometry) , control engineering , mathematics , engineering , artificial intelligence , mechanical engineering , botany , heat exchanger , biology , programming language , geometry
Real plant data were processed by using two available system identification techniques and the applicability and limitations of such techniques in an industrial scale unit were discussed. Empirical dynamic models obtained were used to compare alternative control configurations. Predictive strategies to compensate for delays are recommended and the use of secondary measurements with an adaptive set point configuration is proposed for future implementation.