神经网络智能控制系统应用于废水处理

Application of Intelligent Control System in Wastewater Treatment

所建立的基于人工神经网络的最优控制模型能够根据废水处理系统中进水水质的变化对出水水质进行预测 ,将预测结果输入非线性优化器后能在线调整控制变量 ,从而使整个系统达到实时的最优控制效果。

An optimal control model was set up based on artificial neural network. The model can be used to predict the effluent quality according to the variation of influent quality in wastewater treatment system. Input of the prediction result into nonlinear optimal controller may result in on-line adjustment of manipulated variable, so that the whole system may achieve a real time controlling effect.