University of Mons - Automatic Control Laboratory - Biosys, Boulevard Dolez 31, 7000 Mons, Belgium; Equipe Projet INRA-INRIA MODEMIC, Route des Lucioles, 06902 Sophia-Antipolis, France; UMR INRA-SupAgro MISTEA, 2 Place Viala, 34060 Montpellier, France.
University of Mons - Automatic Control Laboratory - Biosys, Boulevard Dolez 31, 7000 Mons, Belgium.
Water Res. 2015 Mar 1;70:97-108. doi: 10.1016/j.watres.2014.11.043. Epub 2014 Dec 3.
In this study, a simple dynamic model of a submerged membrane bioreactor (sMBR) is proposed, which would be suitable for process control. In order to validate the proposed model structure, informative data sets are generated using a detailed simulator built in a well-established environment, namely GPS-X. The model properties are studied, including equilibrium points, stability, and slow/fast dynamics (three different time scales). The existence of slow-fast dynamics is central to the development of a dedicated parameter estimation procedure. Finally, a nonlinear model predictive control is designed to illustrate the potential of the developed model within a model-based control structure. The problem of water treatment in a recirculating aquaculture system is considered as an application example.
在这项研究中，提出了一种简单的浸没式膜生物反应器（sMBR）的动态模型，该模型适用于过程控制。为了验证所提出的模型结构，使用在成熟环境中构建的详细模拟器生成信息丰富的数据集，即 GPS-X。研究了模型特性，包括平衡点、稳定性和慢/快动态（三个不同的时间尺度）。慢-快动态的存在对于开发专用参数估计过程至关重要。最后，设计了一个非线性模型预测控制，以说明在所开发模型基础上的基于模型的控制结构的潜力。考虑到循环水产养殖系统中的水处理问题作为应用示例。
