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On‐line optimizing control of a packed‐bed immobilized‐cell reactor
Author(s) -
Hamer John W.,
Richenberg Carl B.
Publication year - 1988
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690340412
Subject(s) - control theory (sociology) , packed bed , outlier , control variable , variable (mathematics) , line (geometry) , stability (learning theory) , computer science , chemistry , mathematics , control (management) , chromatography , mathematical analysis , geometry , artificial intelligence , machine learning
On‐line optimizing control has been used to find and track the economically optimal operating conditions of a packed‐bed reactor. The continuous reactor under study converts the ammonium salt of fumaric acid to aspartic acid using whole cells immobilizing in K‐carrageenan beads. The on‐line optimizing control was performed using a leastsquares recursive estimation algorithm with a variable forgetting factor to estimate the parameters in a linear discrete‐time model. A Newton optimization procedure used these parameters to calculate the direction and distance to the optimal conditions. Features found to enhance the speed and stability of the algorithm included the use of a variable forgetting factor algorithm, both low‐ and high‐pass filtering of the data, outlier rejection, and linearizing input‐outupt transformations.