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Intelligent Techniques for Fed-Batch Bioprocess Control

机译:分批补料生物过程控制的智能技术

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Bioprocesses are appreciated as difficult to control because their dynamic behavior is highly nonlinear and time varying, in particular, when they are operating in fed batch mode. For this kind of bioprocess where the; mathematical model contains many structured and unstructured uncertainties, we try to combine different intelligent; techniques based on natural syllogisms of these techniques, hi order to obtain a high bioprocess productivity it is essential to accord the benefits of the classical control strategy (i.e. the analytical determination of the optimum) with the subjective bioprocess characterization (due to the human expert) in order to diminish the on line information scarcity. The research objective of this study was to develop an appropriate control method for a new complex bioprocess and to implement it on a laboratory plant. Hence, an intelligent control structure has been designed in order to produce biomass and to maximize the specific growth rate..
机译:人们认为生物过程难以控制是因为生物过程的动态行为是高度非线性的并且随时间变化,特别是当它们以补料分批模式运行时。对于这种生物过程而言;数学模型包含许多结构性和非结构性的不确定性,我们尝试结合不同的智能;基于这些技术的自然三段论方法的技术,为了获得高的生物过程生产率,必须将经典控制策略(即最优分析的确定)的好处与主观生物过程表征相匹配(由于人类专家)为了减少在线信息的匮乏。这项研究的研究目标是为新的复杂生物过程开发一种合适的控制方法,并将其应用于实验室工厂。因此,已经设计了一种智能控制结构,以生产生物质并最大化单位增长率。

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