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Dynamic on‐line optimization of a bioreactor
Author(s) -
Petersen James N.,
Whyatt Greg A.
Publication year - 1990
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.260350708
Subject(s) - bioreactor , line (geometry) , biochemical engineering , computer science , chemistry , mathematics , engineering , organic chemistry , geometry
Abstract An algorithm was developed which uses recursive least squares to identify a dynamic, discrete time model of a poorly defined system and uses both the dynamic and static portions of the identified model for on‐line optimization. To test this new algorithm, a model of an continuous biochemical reactor was used as the “process.” The objective, here, was to maximize ethanol production from the reactor by manipulating the feed rate to the reactor. The new algorithm, which uses dynamic information, was found to be superior to previously published algorithms which use only the steady‐state portion of the identified model.