An adaptive fuzzy hybrid state observer for bioprocesses

An adaptive fuzzy hybrid state observer for bioprocesses
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生物过程的自适应模糊混合状态观测器

DOI:
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发表时间:
2004
影响因子:
11.9
通讯作者:
S. Azevedo
S. Azevedo
中科院分区:
计算机科学1区
文献类型:
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作者:
Pedro Ascencio;D. Sbarbaro;S. Azevedo

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为了监测和控制生物过程,通常需要在线测量某些生物变量,如生物量浓度。不幸的是,缺乏高可靠和低成本的仪器来在线测量这些重要的变量。这些限制促使使用观察员。本文描述了一种基于混合模糊模型的生物过程状态观测器。该模型结合了质量平衡和模糊推理系统来逼近动力学反应的不确定性。分析了观测器的收敛性、稳定性和鲁棒性。这个观察者的主要特征是通过考虑乳酸发酵来说明的。
In order to monitor and control bioprocesses, online measurements of certain biological variables, like biomass concentration, are normally required. Unfortunately, there is a lack of highly reliable and low cost instruments for online measuring these important variables. These limitations have motivated the use of observers. This paper describes a state observer for bioprocesses based on a hybrid fuzzy model. The model combines the mass balances and a fuzzy inference system for approximating the uncertain dynamic of the kinetic reactions. The convergence, stability, and robustness of the observer are analyzed. The main features of this observer are illustrated by considering a lactic fermentation.