乡镇生活污水溶解氧浓度模糊神经网络PID控制系统研究  

作　　者：陈远龙[1] 李致樯 甘鑫平 

机构地区：[1]合肥工业大学机械工程学院,安徽合肥230009

出　　处：《环境保护与循环经济》2023年第10期12-16,共5页environmental protection and circular economy

摘　　要：在乡镇生活污水处理的好氧阶段,溶解氧浓度控制是非常重要的过程,具有滞后性和多干扰等特点,传统控制策略因控制精度较低和自适应能力差而难以满足要求。设计了基于模糊神经网络PID算法的溶解氧浓度控制方案,并在MATLAB中进行仿真。仿真结果表明,该控制方案具有响应速度快、超调量小和抗干扰能力强等优点。At the aerobic stage of township domestic sewage treatment,dissolving oxygen concentration control is a very important process,however,it has the characteristics of lag and multiple interference.Traditional control strategies are difficult to meet the requirements due to low control accuracy and poor adaptability.Therefore,the dissolved oxygen concentration control scheme based on the fuzzy neural network PID algorithm is designed,and simulation is made in MATLAB.The simulation results show that the control scheme has the advantages of fast response speed,small over-adjustment,and strong anti-interference ability.

关 键 词：污水处理 溶解氧浓度 模糊神经网络PID MATLAB仿真 

分 类 号：X703[环境科学与工程—环境工程]