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 journalConference articlepeer-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 languageEnglish
    Pages (from-to)1007-1012
    Number of pages6
    JournalIFAC-PapersOnLine
    Volume37
    Issue number9
    StatePublished - 2004
    Event7th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS 2004 - Cambridge, United States
    Duration: 5 Jul 20047 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

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