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Light-Controlled Fermentations for Microbial Chemical and Protein Production
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Study of adaptive control of fermentation process.

S Jin1, S L Zhang, J T Yu

  • 1Research Institute of Biochemical Engineering, East China University of Chemical Technology, Shanghai.

Chinese Journal of Biotechnology
|January 1, 1990
PubMed
Summary

A novel adaptive control system was developed for fed-batch penicillin fermentation. This track self-tuning system effectively manages biomass growth despite random parameter changes, improving fermentation control.

Area of Science:

  • Biochemical Engineering
  • Control Systems Theory
  • Industrial Biotechnology

Background:

  • Fed-batch fermentation is crucial for producing penicillin.
  • Traditional control systems struggle with parameter variations during fermentation.
  • Adaptive control offers a potential solution for dynamic process adjustments.

Purpose of the Study:

  • To construct a track self-tuning control system for fed-batch penicillin fermentation.
  • To enhance process stability and biomass growth control.
  • To address the challenges posed by random controller parameter changes.

Main Methods:

  • Utilized adaptive control theory to develop the system.
  • Employed an extended least squares self-tuning control strategy.

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  • Modeled the fermentation process as a two-fold, non-minimum phase SISO system.

    • Main Results:

    • The constructed system demonstrated adaptability to random parameter changes.
    • Simulations confirmed effective control of biomass growth.
    • Biomass growth was successfully regulated according to a reference trajectory.

    Conclusions:

    • The track self-tuning control system offers robust performance in fed-batch penicillin fermentation.
    • Adaptive control strategies are effective for managing dynamic changes in bioprocesses.
    • This approach enhances the precision and reliability of penicillin production.