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Modelling and adaptive control of fed‐batch penicillin fermentation
Author(s) -
Montague G. A.,
Morris A. J.,
Wright A. R.,
Aynsley M.,
Ward A.
Publication year - 1986
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450640407
Subject(s) - industrial fermentation , fermentation , biomass (ecology) , kalman filter , control theory (sociology) , penicillin , process engineering , pulp and paper industry , computer science , mathematics , engineering , control (management) , chemistry , food science , statistics , artificial intelligence , biochemistry , biology , antibiotics , agronomy
This paper describes a study to investigate the application of state estimation and parameter adaptive control in fed‐batch fermentation for penicillin production. A model of the penicillin fermentation process is outlined and shown to be capable of matching industrial data. The penicillin mould biomass is controlled to a reference trajectory by applying self‐tuning control to an estimate of biomass, obtained from measurements of carbon dioxide production rate and fermenter volume and by using the fermentation model with an extended Kalman filter. The manipulated variable, sugar feed to the fermenter, is calculated by an adaptive algorithm. Simulation results compare the performance of self‐tuning control with that obtained using digital Proportional plus Integral control.