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Adaptive Algorithm for Estimation and Control of Fedbatch Bioprocesses

  • J. M. Flaus
  • M. N. Pons
  • A. Cheruy
  • J. M. Engasser

Abstract

To control a fedbatch bioprocess, a promising approach is the use of non-linear adaptive controller in order to cope with the non-linear time-varying nature of the dynamics [Bastin, Dochain, 1984]. This approach provides better guaranties of stability than the more classical one, such a PI control. Yet, these simple control algorithms designed with the physical behaviour of the process in mind leads to interesting results [Cooney, Duen-gang 1983]. The approach we propose combines both methods. It has a very straightforward physical interpretation while taking care of the time-varying and unknown parameters with an stable scheme of estimation for them. Another problem, that we come up against, is the lack of sensors for measuring the various concentrations in the reactor, specifically S, the substrate concentration we want to control. To address this problem we propose an indirect control of S via µ, the specific growth rate, which can be estimated on-line more easily than S. These algorithms are tested by simulation.

Keywords

Substrate Concentration Specific Growth Rate Initial Error Physiological Model Ethanol Formation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Bastin G., Dochain D. (1984) Adaptive Identification and Control Algorithm for Nonlinear Bacterial Growth Systems, Automatica, Vol 20, N 5, pp. 621–634.CrossRefGoogle Scholar
  2. [2]
    Bastin G., Dochain D. (1986) On-Line Estimation of Microbial Specific Growth Rates, Automatica, Vol 22, N 6, pp. 705–709.CrossRefGoogle Scholar
  3. [3]
    Cooney C.L., Duen-gang M. (1983) Growth Monitoring and Control through Computer Aided On-Line Balancing in A Fed-Batch Penicillin Fermentation, Biotech, Bioeng. Vol 25, pp. 225–255.CrossRefGoogle Scholar
  4. [4]
    Rajab A., (1986) Modélisation et conduite automatique de la fermentation de Saccharomyces Cerevisiae, Thèse d’état, INPL, France.Google Scholar

Copyright information

© Society of Chemical Industry 1989

Authors and Affiliations

  • J. M. Flaus
    • 1
  • M. N. Pons
    • 1
  • A. Cheruy
    • 2
  • J. M. Engasser
    • 1
  1. 1.Laboratoire des Sciences du Génie ChimiqueNancyFrance
  2. 2.Laboratoire d’Automatique de GrenobleFrance

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