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On-line optimizing control of a packed-bed immobilized-cell reactor

✍ Scribed by John W. Hamer; Carl B. Richenberg

Publisher: American Institute of Chemical Engineers
Year: 1988
Tongue: English
Weight: 592 KB
Volume: 34
Category: Article
ISSN: 0001-1541
DOI: 10.1002/aic.690340412

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✦ Synopsis

On-Line Optimizing Control of a Packed-Bed Immobilized-Cell Reactor

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 lowand high-pass filtering of the data, outlier rejection, and linearizing input-outupt transformations.

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