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

    Resultado de la investigación: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

    2 Citas (Scopus)

    Resumen

    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.

    Idioma originalInglés
    Páginas (desde-hasta)1007-1012
    Número de páginas6
    PublicaciónIFAC-PapersOnLine
    Volumen37
    N.º9
    EstadoPublicada - 2004
    Evento7th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS 2004 - Cambridge, Estados Unidos
    Duración: 5 jul. 20047 jul. 2004

    Nota bibliográfica

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

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