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首页> 外文期刊>International journal of biomathematics >PARAMETER IDENTIFICATION AND TERMINAL STEADY-STATE OPTIMIZATION FOR S SYSTEM IN MICROBIAL CONTINUOUS FERMENTATION
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PARAMETER IDENTIFICATION AND TERMINAL STEADY-STATE OPTIMIZATION FOR S SYSTEM IN MICROBIAL CONTINUOUS FERMENTATION

机译:微生物连续发酵中S系统的参数识别和稳态优化

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摘要

In this paper, we propose a special S system to describe the process of continuous glycerol fermentation to 1,3-propanediol by Klebsiella pneumoniae. Some properties of solution for S system are discussed. Moreover, in order to identify the values of parameters such that S system can simulate the fermentation as exactly as possible, we develop a parameter identification model, and prove the identifiability of parameters. Numerical results show that the average relative error between computational value and experimental data is 20.0875% lower than 24.4225% in previous work, which demonstrates that S system is better in describing continuous fermentation. Finally, we present a terminal steadystate optimization model with state constraints. Optimization results show that the maximum volume yields of 1,3-propanediol at terminal moment increased from 114.3 to 124.911 mmolL~(-1)1 h~(-1). The results provide reference for the commercial production of 1,3-propanediol.
机译:在本文中,我们提出了一个特殊的S系统来描述肺炎克雷伯菌对甘油进行连续不断的发酵发酵成1,3-丙二醇的过程。讨论了S系统解的一些性质。此外,为了识别参数值以使S系统尽可能准确地模拟发酵,我们建立了参数识别模型,并证明了参数的可识别性。数值结果表明,计算值和实验数据之间的平均相对误差比以前的研究中的24.4225%降低了20.0875%,这表明S系统在描述连续发酵方面更好。最后,我们提出了具有状态约束的终端稳态优化模型。优化结果表明,1,3-丙二醇在最终时刻的最大收率从114.3增加到124.911 mmolL〜(-1)1 h〜(-1)。结果为1,3-丙二醇的商业化生产提供了参考。

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