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 journal › Conference article › 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

Funding Information:
This paper includes results of the EOLI project that is supported by the INCO program of the European Community, Contract number ICA4-CT-2002-1oo12 and of the Knowledge-driven Batch Production (BatchPro) European Project HPRN-CT-2000-00039. The support of the Belgian program on InterUniversity Poles of Attraction initiated by the Belgian State, Prime Minister's office for Science, Technology and Culture, is gratefully acknowledged; Figure 5: AES behavior for Scenario 6 in Table 2. In the substrate plot a step-like line shows S·. Estimations are drawn with dashed lines.

Funding Information:
Thanks to CONACyT (Project 34934A) and DGAPA for its financial support; M. 1. Betancur thanks the CE INCO-DEV Bursary contract ICBI-CT-2002-80006, UPB and CESAME. The scientific responsibility rests with the authors.

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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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

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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

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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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