Hybrid intelligent control of substrate feeding for industrial fed-batch chlortetracycline fermentation process

Huaiping Jin, Xiangguang Chen*, Jianwen Yang, Lei Wu, Li Wang

*Corresponding author for this work

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Abstract

The lack of accurate process models and reliable online sensors for substrate measurements poses significant challenges for controlling substrate feeding accurately, automatically and optimally in fed-batch fermentation industries. It is still a common practice to regulate the feeding rate based upon manual operations. To address this issue, a hybrid intelligent control method is proposed to enable automatic substrate feeding. The resulting control system consists of three modules: a presetting module for providing initial set-points; a predictive module for estimating substrate concentration online based on a new time interval-varying soft sensing algorithm; and a feedback compensator using expert rules. The effectiveness of the proposed approach is demonstrated through its successful applications to the industrial fed-batch chlortetracycline fermentation process.

Original languageEnglish
Pages (from-to)1822-1837
Number of pages16
JournalISA Transactions
Volume53
Issue number6
DOIs
Publication statusPublished - 1 Nov 2014

Keywords

  • Fed-batch fermentation process
  • Hybrid intelligent control
  • Process control
  • Soft sensor
  • Substrate feeding

Cite this

Jin, H., Chen, X., Yang, J., Wu, L., & Wang, L. (2014). Hybrid intelligent control of substrate feeding for industrial fed-batch chlortetracycline fermentation process. ISA Transactions, 53(6), 1822-1837. https://doi.org/10.1016/j.isatra.2014.08.015