分批补料发酵优化控制变量的选择

Jayant M. Modak
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引用次数: 15

摘要

饲料分批发酵的优化问题是在一个框架中制定的,该框架允许比较四种不同控制变量的最优操作策略。这些变量包括原始控制变量,即底物进料速率,以及转换后的三个控制变量,即发酵罐内底物浓度、进料中底物浓度和底物质量流量。三个转换后的控制变量的最优性条件是相同的,但通常不同于原始控制变量的最优性条件。转换控制变量的最优条件没有考虑到(i)特定速率对细胞质量和产物浓度的依赖以及(ii)底物消耗动态。与原始控制变量的操作策略相比,控制变量的转换导致了补料分批发酵的次优操作策略。举例说明了控制变量的选择对补料分批发酵优化的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Choice of control variable for optimization of fed-batch fermentation

The optimization problem for fed-batch fermentation is formulated in a framework which allows comparison of optimal operating policies with four different control variables. These variables include the original control variable, namely the substrate feed rate, and three transformed control variables, i.e. the substrate concentration in the fermenter, the substrate concentration in the feed and the mass flow rate of substrate. The optimality conditions for the three transformed control variables are identical but are generally different from the optimality condition for the original control variable. The optimality condition for the transformed control variables does not take into account (i) the dependence of the specific rates on the concentrations of cell mass and product and (ii) the substrate consumption dynamics.

The control variable transformation leads to suboptimal operating policies for fed-batch fermentation as compared with the operating policies resulting from the original control variable. Examples are provided to demonstrate the effect of the choice of the control variable on the optimization of fed-batch fermentation.

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