华侨大学学报（自然科学版）Issue(3)：280-285,6.DOI:10.11830/ISSN.1000-5013.2015.03.0280
神经网络预测控制在污水处理溶解氧控制中的应用
Application of Neural Network Predictive Control to Dissolved Oxygen Control in Sewage Treatment Process
摘要
Abstract
In order to solve the difficult problem of controlling the dissolved oxygen (DO)concentration with time var-ying setpoint in sewage treatment process,a neural network predictive controller (NNPC)design method for the dissolved oxygen concentration is proposed in this paper.Firstly,based on the general mechanism model of the activated sludge sewage treatment process,by using the input and output data of the system and the recursive learning update mode,the neural network approximation model of the system is trained through three-layer BP neural network.Then the constrained predictive controller of dissolved oxygen is designed in the condition of satisfying effluent water quality indicators.Consid-ering the white noise interference on the dissolved oxygen measurement and the step changing influent flow,the designed controller is applied to the time varying setpoint tracking control of dissolved oxygen concentration in sewage treatment process.Simulation results show that compared to the conventional PID controller,the neural network predictive control-ler can significantly improve the tracking control performance of dissolved oxygen concentration and has better adaptability and stronger disturbance rej ection ability.关键词
污水处理/神经网络/溶解氧浓度/预测控制/过程控制Key words
sewage treatment/neural network/dissolved oxygen concentration/predictive control/process control分类
信息技术与安全科学引用本文复制引用
张学阳,项雷军,林文辉,郭新华..神经网络预测控制在污水处理溶解氧控制中的应用[J].华侨大学学报（自然科学版）,2015,(3):280-285,6.基金项目
福建省自然科学基金资助项目（2013J01198）；福建省泉州市科技计划重点项目 （）
