生物乙醇生产过程建模与优化

2015 19th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2015-11-09 DOI:10.1109/ICSTCC.2015.7321266

L. Dewasme, A. V. Vande Wouwer, Y. Samyudia

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引用次数: 1

摘要

本文以生物乙醇生产优化为背景，建立了酵母培养的宏观模型。基于Sonnleitner和Käppeli的开创性工作，对模型的制定进行了讨论。首先对所得模型进行参数识别，并通过灵敏度分析解释参数值的离散性。在连续过程稳定性分析的基础上，提出了一种无模型极值搜索算法对生物乙醇流出率进行闭环优化。数值结果表明了该方法的有效性及其与实际时标性能的一致性。

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Modeling and optimization of bioethanol production process

In this paper, a macroscopic model of yeast culture is presented in the context of bioethanol production optimization. A discussion of the model formulation, based on the seminal work of Sonnleitner and Käppeli, is provided. A parameter identification of the resulting model is first performed and the dispersion of the parameter values is explained through a sensitivity analysis. Following the continuous process stability analysis, a closed-loop optimization of the bioethanol outflow rate using a model-free extremum-seeking algorithm is suggested. Numerical results show the efficiency of the method and its consistency with respect to a realistic time-scale performance.

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2015 19th International Conference on System Theory, Control and Computing (ICSTCC)

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