污水处理过程中模糊自适应广义预测控制方法

Fuzzy Adaptive Generalized Predictive Control for Wastewater Treatment Process

污水处理是一个复杂的生化反应过程,具有高度非线性、强耦合、不确定性等特点。本文以基于活性污泥1号模型(ASM1)的污水处理benchmark为研究对象,采用模糊模型描述污水处理过程,利用自适应辨识策略提高模型的精确度,以模糊自适应模型作为预测模型,提出了污水处理过程模糊自适应广义预测控制方法。仿真结果表明:采用的模糊自适应预测控制方法能有效地控制出水水质。

Wastewater treatment is a complex biochemical reaction with strong nonlinearity, coupling and uncertainty. In this paper, a fuzzy adaptive generalized predictive control （GPC） is proposed for wastewater treatment benchmark based on the activated sludge model No. 1 （ASM1）. The predictive model is obtained by using fuzzy adaptive identification, which can improve the accuracy of the model. The results of simulation demonstrate that the proposed control strategy can effectively ensure effluent water quality.