In this work, the problem of predictive control of dissolved oxygen for the activated sludge process model with high nonlinearity and strong coupling is addressed. Firstly, the determination of the structure of fuzzy rules is displayed established upon Activated sludge model 1 (ASM1). Besides, the fuzzy space is divided through the clustering algorithm of fuzzy C-means. The corresponding parameters are estimated by means of the well-known least squares method. Subsequently, a fuzzy predictive model of dissolved oxygen is established by using the historical data. The aim is to design a predictive controller that is capable of performing the online track of dissolved oxygen attributed to better dynamic response and steadier output in different weather. Ultimately, the availability and validity of the developed technique are verified by a comparison example.

中文翻译：

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基于模糊C均值聚类算法的活性污泥过程模型的溶氧模型预测控制

在这项工作中，解决了高非线性和强耦合的活性污泥过程模型的溶解氧预测控制问题。首先，在活性污泥模型1（ASM1）上建立模糊规则结构的确定。此外，模糊空间通过模糊C-means的聚类算法进行划分。通过众所周知的最小二乘法估计相应的参数。随后，利用历史数据建立溶解氧的模糊预测模型。目的是设计一种预测控制器，该控制器能够执行溶解氧的在线跟踪，这归因于在不同天气下具有更好的动态响应和更稳定的输出。最终，