期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 39, 期 -, 页码 143-151出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2011.12.010
关键词
Predictive control; Min-max optimization; Overflow metabolism; Fermentation; Biotechnology
资金
- Interuniversity Attraction Poles Programme
- Fundacao para a Ciencia e a Tecnologia, Portugal [SFRH/BSAB/943/2009]
- FNRS
- CNPq
- Fundação para a Ciência e a Tecnologia [SFRH/BSAB/943/2009] Funding Source: FCT
Overflow metabolism characterizes cells strains that are likely to produce metabolites as, for instance, ethanol for yeasts or acetate for bacteria, resulting from an excess of substrate feeding and inhibiting the cell respiratory capacity. The critical substrate level separating the two different metabolic pathways is generally not well defined. This occurs for instance in Escherichia coli cultures with aerobic acetate formation. This work addresses the control of a lab-scale fed-batch culture of E. coli with a nonlinear model predictive controller (NMPC) to determine the optimal feed flow rate of substrate. The objective function is formulated in terms of the kinetics of the main metabolic pathways, and aims at maximizing glucose oxidation, while minimizing glucose fermentation. As bioprocess models are usually uncertain, a robust formulation of the NMPC scheme is proposed using a min-max optimization problem. The potentials of this approach are demonstrated in simulation using a Monte-Carlo analysis. (c) 2011 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据