基于神经元网络PID的含铬废水智能处理系统

Intelligent handling system of the Cr-containing Effluent based on neural network PID

分析含铬废水的酸度(pH)和氧化还原电位(ORP)的特性,设计一种含铬废水智能处理系统。该系统基于自学习神经元网络PID控制,结合根据系统蕴藏能量进行的超前调节和从化学反应原理出发的pH和ORP间解耦方法,解决非线性、不确定性、时滞、大惯性和关联耦合问题。仿真分析和实际应用表明了其有效性。

The characteristics of the potential of hydrogen(pH) and oxidation reduction potential(ORP) of the Cr-containing effluent are analyzed,and an intelligent handling system is designed.Based on the self-learning neural network PID control,this system combines the leading adjustment on the basis of the energy in the process with the decoupling method in concern of the principle in the chemical reaction for the sake of the coupling between the pH and ORP to solve non-linearity,uncertainty,delay and great inertia.Simulation analysis and practical application indicate that it is effective.