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  • 标题:Bioreactor Scaling Enhances Feedback Control Of Concentration, Rates, and Yields.
  • 本地全文:下载
  • 作者:Pedro A. Lira Parada ; Even Pettersen ; Nadav Bar
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:1
  • 页码:237-242
  • DOI:10.1016/j.ifacol.2019.06.068
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractFermentation processes are biologically complex, multiple-input, multiple-output systems, and as such, selection of an adequate control strategy is often an elaborate task. The process and disturbance dynamics are easily oversimplified, and the controller design in such cases seldom yield adequate performance. In the present study, we developed a non-structured, dimensionless model of microbial fermentation production. Analysis and simulations show that scaling of a bioreactor model facilitates parameter estimation, yield a straightforward objective function definition, and promote control decisions with better performance. The results suggest that scaling of a bioreactor model enhances the performance of feedback control, producing higher concentrations, rates, and yields, three of the most important parameters in industrial microbial biocatalysis.
  • 关键词:KeywordsBioprocess controlIndustrial biotechnologyfed-batchfeedback controlparameter estimationfermentation processdynamic model
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