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Multirate state and parameter estimation in an antibiotic fermentation with delayed measurements
Author(s) -
Gudi R. D.,
Shah S. L.,
Gray M. R.
Publication year - 1994
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260441102
Subject(s) - extended kalman filter , estimator , fermentation , biomass (ecology) , kalman filter , biological system , streptomyces clavuligerus , process (computing) , estimation theory , software , control theory (sociology) , biochemical engineering , computer science , mathematics , statistics , streptomyces , biology , engineering , biochemistry , ecology , bacteria , artificial intelligence , operating system , genetics , actinomycetales , control (management) , programming language
This article discusses issues related to estimation and monitoring of fermentation processes that exhibit endogenous metabolism and time‐varying maintenance activity. Such culture‐related activities hamper the use of traditional, software sensor‐based algorithms, such as the extended kalman filter (EKF). In the approach presented here, the individual effects of the endogenous decay and the true maintenance processes have been lumped to represent a modified maintenance coefficient, m c . Model equations that relate measurable process outputs, such as the carbon dioxide evolution rate (CER) and biomass, to the observable process parameters (such as net specific growth rate and the modified maintenance coefficient) are proposed. These model equations are used in an estimator that can formally accommodate delayed, infrequent measurements of the culture states (such as the biomass) as well as frequent, culture‐related secondary measurements (such as the CER). The resulting multirate software sensor‐based estimation strategy is used to monitor biomass profiles as well as profiles of critical fermentation parameters, such as the specific growth for a fed‐batch fermentation of Streptomyces clavuligerus . © 1994 John Wiley & Sons, Inc.