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Research on dissolved oxygen concentration modeling and controlling based on neural network

机译：基于神经网络的溶解氧浓度建模与控制研究

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摘要

For the control problem of dissolved oxygen (DO) concentration in wastewater treatment system, this paper proposes a modeling and controlling method based on feedforward neural network (FNN).For making neural network controller control the uncertain transfer function model, the approximating neural network is established as wastewater treatment model which using the approximate character of FNN. Meanwhile, since FNN has strong online learning ability, another network is designed as controller to control the DO concentration. The simulation is based on real data supplied by wastewater treatment plant, and the results indicate the DO concentration can be controlled efficiently with better control accuracy.
机译：对于废水处理系统中溶解氧（DO）浓度的控制问题，本文提出了一种基于前馈神经网络（FNN）的建模和控制方法。制作神经网络控制器控制不确定的传递函数模型，近似神经网络是建立为使用FNN近似特征的废水处理模型。同时，由于FNN具有强大的在线学习能力，因此另一个网络被设计为控制器以控制DO浓度。该模拟基于废水处理厂提供的真实数据，结果表明可以以更好的控制精度有效地控制DO浓度。

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