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

doi:10.1016/j.cjche.2014.10.011

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (1): 112-120.DOI: 10.1016/j.cjche.2014.10.011

• 过程系统工程与过程安全 • 上一篇下一篇

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

Qinghua Chi¹, Weijie Zhang¹, Zhengshun Fei², Jun Liang¹

1 State Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, China;
2 Department of Measurement Technology and Instruments, Zhejiang University of Science and Technology, Hangzhou 310023, China

收稿日期:2013-05-04 修回日期:2013-08-25 出版日期:2015-01-28 发布日期:2015-01-24
通讯作者: Jun Liang
基金资助:
Supported by the National Natural Science Foundation of China (61174114), the Research Fund for the Doctoral Program of Higher Education in China (20120101130016), and the Scholarship Award for Excellent Doctoral Student granted byMinistry of Education.

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

Qinghua Chi¹, Weijie Zhang¹, Zhengshun Fei², Jun Liang¹

1 State Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University, Hangzhou 310027, China;
2 Department of Measurement Technology and Instruments, Zhejiang University of Science and Technology, Hangzhou 310023, China

Received:2013-05-04 Revised:2013-08-25 Online:2015-01-28 Published:2015-01-24
Contact: Jun Liang
Supported by:
Supported by the National Natural Science Foundation of China (61174114), the Research Fund for the Doctoral Program of Higher Education in China (20120101130016), and the Scholarship Award for Excellent Doctoral Student granted byMinistry of Education.

摘要/Abstract

摘要： 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.

关键词: Dynamic optimization, Uncertainty, NCO-tracking, Solution model

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.

Key words: Dynamic optimization, Uncertainty, NCO-tracking, Solution model

Qinghua Chi, Weijie Zhang, Zhengshun Fei, Jun Liang. A two-level measurement-based dynamic optimization strategy for a bioreactor in penicillin fermentation process[J]. Chinese Journal of Chemical Engineering, 2015, 23(1): 112-120.

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

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

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