城市污水处理过程模型预测控制研究综述

A Review of Model Predictive Control for Urban Wastewater Treatment Process

城市污水处理过程具有生化反应复杂、非线性、不确定性等特点,在受进水流量、进水组分、天气变化等强干扰作用时,很难保证出水水质维持在规定范围内。模型预测控制以其可应用于非线性系统、显式处理约束问题等优点,近几年在城市污水处理过程中得到了广泛应用。本文从模型预测控制方法在城市污水处理过程中所依托的模型角度出发,介绍了其在基于机理模型和数据驱动的城市污水处理过程中的研究现状,阐述了在不同模型和控制变量下的控制效果。最后提出了城市污水处理过程中仍需解决的问题,并对模型预测控制方法在城市污水处理过程控制中的未来研究方向做出了展望。

Nonlinearities,uncertainties,and complex biochemical reactions are the main characteristics of the urban wastewater treatment process.It is challenging to ensure that the effluent water quality within the specified range is subject to strong interferences such as the flow of influent water,the composition of the influent water and weather changes.Model predictive control has been widely used in urban wastewater treatment in recent years due to its advantages of solving nonlinear system and problems with explict constraints.This study introduces the reasearch status of model predictive control method in urban wastewater treatment process based on mechanism model and data-driven,and elaborated the control effect under different models and control variables.Finally,problems that still need to be solved in the urban wastewater treatment process are presented.Future research directions of the model predictive control in the urban wastewater treatment process control are suggested.