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Facilitating control of fed-batch fermentation processes by monitoring the growth rates of Saccharomyces cerevisiae

机译:通过监测酿酒酵母的生长速率促进分批补料发酵过程的控制

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In this paper we present a growth rate controller for a fed-batch bioprocess. An observer estimates the growth rate. The observer is based on knowledge about the stoichiometric relations of the process. Furthermore, the observer needs online measurements of the oxygen uptake rate and the carbon-dioxide production rate. The control structure is a simple one, and the fed-batch fermentation process is inherently nonlinear. A growth rate dependent precompensation is introduced to linearise the process. The remaining control actions can then be tackled using a normal PI-controller. Simulation studies show good performance for oxidative growth on glucose. Deterioration of the control is expected if the growth rate becomes bigger than the critical growth rate. Furthermore, some non-modelled dynamical effects occur during set-point changes. To some extend these effects can be modelled and the model can be incorporated in the controller. The overall performance of the controller increases. Yet this improvement is at the cost of a more complex structure. A trade off has to be found between control performance and controller complexity.
机译:在本文中,我们提出了一种补料分批生物工艺的增长率控制器。观察者估计增长率。观察者基于关于过程的化学计量关系的知识。此外,观察者需要在线测量氧气的吸收率和二氧化碳的产生率。控制结构很简单,分批补料发酵过程本质上是非线性的。引入依赖于增长率的预补偿来线性化该过程。然后可以使用常规PI控制器解决其余的控制动作。模拟研究显示了葡萄糖氧化生长的良好性能。如果增长率大于临界增长率,则预期控制会恶化。此外,在设定点更改期间会发生一些非建模的动力学影响。在某种程度上,可以对这些效应进行建模,并且可以将模型合并到控制器中。控制器的整体性能得到提高。然而,这种改进是以更复杂的结构为代价的。必须在控制性能和控制器复杂性之间找到一个权衡。

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