In this article, the problem of real-time estimation of the fermentative ethanol process is tackled. The considered observer is a model-based technique that is robust regarding the model parameter uncertainties and inline noisy measurements. An unstructured kinetic model was used to describe the production of ethanol in a batch bioreactor for Saccharomyces cerevisiae. The biomass concentration was selected as the measured bioreactor´s output via an inline device, where the estimate variables were the substrate and ethanol concentrations. An experimental prototype was constructed to demonstrate the observer's real-time performance. The experimental results show that the robust, smooth sliding mode observer performs better than the standard proportional sliding mode observer.

中文翻译：

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通过强大的状态观察器实时监测乙醇发酵的不确定性

在本文中，解决了发酵乙醇过程的实时估计问题。所考虑的观测器是一种基于模型的技术，该技术在模型参数不确定性和内联噪声测量方面具有鲁棒性。使用非结构化动力学模型来描述酿酒酵母间歇式生物反应器中乙醇的生产。通过在线设备选择生物量浓度作为测量的生物反应器的输出，其中估计变量是底物和乙醇浓度。构建了一个实验原型来展示观察者的实时性能。实验结果表明，鲁棒、平滑的滑模观测器的性能优于标准比例滑模观测器。