Event software sensor and adaptive extremum seeking alternatives for optimizing a class of fed-batch bioreactors

Manuel J. Betancur; Mariana Titica; Jaime A. Moreno; Denis Dochain; M. Guay

Event software sensor and adaptive extremum seeking alternatives for optimizing a class of fed-batch bioreactors

Manuel J. Betancur
, Mariana Titica
, Jaime A. Moreno
, Denis Dochain
, M. Guay

Research output: Contribution to scientific journal › Conference and proceedings › peer-review

2 Scopus citations

Abstract

Optimization and control in spite of plant uncertainties is always a challenge, especially if additional constraints about measurements are present. Here, two different approaches to solve this problem are compared using simulation. They aim at reducing the operation time of bioreactors with inhibitory behavior where measuring the reaction rate is not feasible. The "Adaptive Extremum Seeking" proposed version relies on the structure information of the kinetic model and requires the measurements of the substrate and one other related variable. The "Event Driven Time Optimal Controller" strategy avoids the substrate measurement and, using an event software sensor, provides a nearly optimal solution without requiring a complete model.

Original language	English
Pages (from-to)	1007-1012
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	37
Issue number	9
State	Published - 2004
Event	7th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS 2004 - Cambridge, United States Duration: 5 Jul 2004 → 7 Jul 2004

Bibliographical note

Publisher Copyright:
© IFAC Dynamics and Control of Process Systems, Cambridge, Massachusetts, USA, 2004

Keywords

Biomass production
Control applications
Extremum seeking
Fed-batch bioreactor
Haldane kinetics
Optimal control
Software sensor

Cite this

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title = "Event software sensor and adaptive extremum seeking alternatives for optimizing a class of fed-batch bioreactors",

abstract = "Optimization and control in spite of plant uncertainties is always a challenge, especially if additional constraints about measurements are present. Here, two different approaches to solve this problem are compared using simulation. They aim at reducing the operation time of bioreactors with inhibitory behavior where measuring the reaction rate is not feasible. The {"}Adaptive Extremum Seeking{"} proposed version relies on the structure information of the kinetic model and requires the measurements of the substrate and one other related variable. The {"}Event Driven Time Optimal Controller{"} strategy avoids the substrate measurement and, using an event software sensor, provides a nearly optimal solution without requiring a complete model.",

keywords = "Biomass production, Control applications, Extremum seeking, Fed-batch bioreactor, Haldane kinetics, Optimal control, Software sensor",

author = "Betancur, \{Manuel J.\} and Mariana Titica and Moreno, \{Jaime A.\} and Denis Dochain and M. Guay",

note = "Publisher Copyright: {\textcopyright} IFAC Dynamics and Control of Process Systems, Cambridge, Massachusetts, USA, 2004; 7th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS 2004 ; Conference date: 05-07-2004 Through 07-07-2004",

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T1 - Event software sensor and adaptive extremum seeking alternatives for optimizing a class of fed-batch bioreactors

AU - Betancur, Manuel J.

AU - Titica, Mariana

AU - Moreno, Jaime A.

AU - Dochain, Denis

AU - Guay, M.

N1 - Publisher Copyright: © IFAC Dynamics and Control of Process Systems, Cambridge, Massachusetts, USA, 2004

PY - 2004

Y1 - 2004

N2 - Optimization and control in spite of plant uncertainties is always a challenge, especially if additional constraints about measurements are present. Here, two different approaches to solve this problem are compared using simulation. They aim at reducing the operation time of bioreactors with inhibitory behavior where measuring the reaction rate is not feasible. The "Adaptive Extremum Seeking" proposed version relies on the structure information of the kinetic model and requires the measurements of the substrate and one other related variable. The "Event Driven Time Optimal Controller" strategy avoids the substrate measurement and, using an event software sensor, provides a nearly optimal solution without requiring a complete model.

AB - Optimization and control in spite of plant uncertainties is always a challenge, especially if additional constraints about measurements are present. Here, two different approaches to solve this problem are compared using simulation. They aim at reducing the operation time of bioreactors with inhibitory behavior where measuring the reaction rate is not feasible. The "Adaptive Extremum Seeking" proposed version relies on the structure information of the kinetic model and requires the measurements of the substrate and one other related variable. The "Event Driven Time Optimal Controller" strategy avoids the substrate measurement and, using an event software sensor, provides a nearly optimal solution without requiring a complete model.

KW - Biomass production

KW - Control applications

KW - Extremum seeking

KW - Fed-batch bioreactor

KW - Haldane kinetics

KW - Optimal control

KW - Software sensor

UR - https://www.scopus.com/pages/publications/85083225586

M3 - Ponencia publicada en las memorias del evento con ISSN

AN - SCOPUS:85083225586

SN - 1474-6670

VL - 37

SP - 1007

EP - 1012

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 9

T2 - 7th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS 2004

Y2 - 5 July 2004 through 7 July 2004

ER -

Event software sensor and adaptive extremum seeking alternatives for optimizing a class of fed-batch bioreactors

Abstract

Bibliographical note

Keywords

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