A two-level measurement-based dynamic optimization strategy for a bioreactor in penicillin fermentation process

Qinghua Chi; Weijie Zhang; Zhengshun Fei; Jun Liang

doi:10.1016/j.cjche.2014.10.011

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A two-level measurement-based dynamic optimization strategy for a bioreactor in penicillin fermentation process

过程系统工程与过程安全 | Updated：2026-01-06

- A two-level measurement-based dynamic optimization strategy for a bioreactor in penicillin fermentation process
- Chinese Journal of Chemical Engineering Vol. 23, Issue 1, Pages: 112-120(2015)
- Affiliations：
  
  2 Department of Measurement Technology and Instruments, Zhejiang University of Science and Technology,Hangzhou,China,310023
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2014.10.011
  CLC：
- Published：2015
- Accepted：
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Qinghua Chi, Weijie Zhang, Zhengshun Fei, Jun Liang. A two-level measurement-based dynamic optimization strategy for a bioreactor in penicillin fermentation process[J]. Chin.J.Chem.Eng., 2015, 23(1): 112-120.
DOI：

Qinghua Chi, Weijie Zhang, Zhengshun Fei, Jun Liang. A two-level measurement-based dynamic optimization strategy for a bioreactor in penicillin fermentation process[J]. Chin.J.Chem.Eng., 2015, 23(1): 112-120. DOI： 10.1016/j.cjche.2014.10.011.

摘要

Abstract

One measurement-based dynamic optimization scheme can achieve optimality under uncertainties by tracking the necessary condition of optimality (NCO-tracking)

with a basic assumption that the solution model remains invariant in the presence of all kinds of uncertainties. This assumption is not satisfied in some cases and the standard NCO-tracking scheme is infeasible. In this paper

a novel two-level NCO-tracking scheme is proposed to deal with this problem. A heuristic criterion is given for triggering outer level compensation procedure to update the solution model once any change is detected via online measurement and estimation. The standard NCO-tracking process is carried out at the inner level based on the updated solutionmodel. The proposed approach is illustrated via a bioreactor in penicillin fermentation process.

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