Observer-based non-linear control of a fed-batch autoinductive fermentation process

B. Tartakovsky; B. E. Dainson; D. R. Lewin; M. Sheintuch

doi:10.1016/0923-0467(96)80021-2

Observer-based non-linear control of a fed-batch autoinductive fermentation process

B. Tartakovsky^*, B. E. Dainson, D. R. Lewin, M. Sheintuch

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Optimal regulatory control of an autoinductive recombinant culture in a fed-batch reactor is considered. End point optimization results in a three-stage process: biomass growth, inducer synthesis and product synthesis. It is shown that in the last stage the substrate concentration should be maintained constant. This is achieved using an input-output linearizing controller accompanied by a novel non-linear state observer for the estimation of unmeasured state variables on the basis of on-line off-gas carbon dioxide concentration measurements. Experimental runs of luminous recombinant E. coli strain in a laboratory fermenter demonstrate the rapid convergence of the observer estimates as well as the effectiveness and robustness of the overall control system.

Original language	English
Pages (from-to)	139-148
Number of pages	10
Journal	Chemical Engineering Journal and the Biochemical Engineering Journal
Volume	61
Issue number	2
DOIs	https://doi.org/10.1016/0923-0467(96)80021-2
State	Published - 1996
Externally published	Yes

Keywords

Fed batch autoinductive fermentation process
Non-linear control
Optimal regulatory control

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10.1016/0923-0467(96)80021-2

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title = "Observer-based non-linear control of a fed-batch autoinductive fermentation process",

abstract = "Optimal regulatory control of an autoinductive recombinant culture in a fed-batch reactor is considered. End point optimization results in a three-stage process: biomass growth, inducer synthesis and product synthesis. It is shown that in the last stage the substrate concentration should be maintained constant. This is achieved using an input-output linearizing controller accompanied by a novel non-linear state observer for the estimation of unmeasured state variables on the basis of on-line off-gas carbon dioxide concentration measurements. Experimental runs of luminous recombinant E. coli strain in a laboratory fermenter demonstrate the rapid convergence of the observer estimates as well as the effectiveness and robustness of the overall control system.",

keywords = "Fed batch autoinductive fermentation process, Non-linear control, Optimal regulatory control",

author = "B. Tartakovsky and Dainson, {B. E.} and Lewin, {D. R.} and M. Sheintuch",

year = "1996",

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T1 - Observer-based non-linear control of a fed-batch autoinductive fermentation process

AU - Tartakovsky, B.

AU - Dainson, B. E.

AU - Lewin, D. R.

AU - Sheintuch, M.

PY - 1996

Y1 - 1996

N2 - Optimal regulatory control of an autoinductive recombinant culture in a fed-batch reactor is considered. End point optimization results in a three-stage process: biomass growth, inducer synthesis and product synthesis. It is shown that in the last stage the substrate concentration should be maintained constant. This is achieved using an input-output linearizing controller accompanied by a novel non-linear state observer for the estimation of unmeasured state variables on the basis of on-line off-gas carbon dioxide concentration measurements. Experimental runs of luminous recombinant E. coli strain in a laboratory fermenter demonstrate the rapid convergence of the observer estimates as well as the effectiveness and robustness of the overall control system.

AB - Optimal regulatory control of an autoinductive recombinant culture in a fed-batch reactor is considered. End point optimization results in a three-stage process: biomass growth, inducer synthesis and product synthesis. It is shown that in the last stage the substrate concentration should be maintained constant. This is achieved using an input-output linearizing controller accompanied by a novel non-linear state observer for the estimation of unmeasured state variables on the basis of on-line off-gas carbon dioxide concentration measurements. Experimental runs of luminous recombinant E. coli strain in a laboratory fermenter demonstrate the rapid convergence of the observer estimates as well as the effectiveness and robustness of the overall control system.

KW - Fed batch autoinductive fermentation process

KW - Non-linear control

KW - Optimal regulatory control

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DO - 10.1016/0923-0467(96)80021-2

M3 - 文章

AN - SCOPUS:0030087967

SN - 0923-0467

VL - 61

SP - 139

EP - 148

JO - Chemical Engineering Journal and the Biochemical Engineering Journal

JF - Chemical Engineering Journal and the Biochemical Engineering Journal

IS - 2

ER -

Observer-based non-linear control of a fed-batch autoinductive fermentation process

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Keywords

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