自动化学报2018，Vol.44Issue(12)：2198-2209,12.DOI:10.16383/j.aas.2018.c170257
污水处理决策优化控制
Advanced Decision and Optimization Control for Wastewater Treatment Plants
摘要
Abstract
In order to inhibit the peak of ammonia nitrogen (SNH, e) and total nitrogen (SNtot, e) concentrations in effluent and reduce energy consumption, we present in this paper a decision and optimization control method. Firstly, we establish the prediction models of SNH, eand SNtot, ewith neural network. Secondly, we optimize the set points of dissolved oxygen concentration and nitrate nitrogen concentration with multiobjective evolutionary algorithm. Lastly, select control strategy (optimal control strategy or inhibitory control strategy) based on the outcome of prediction models. Evaluation is carried out with the Benchmark Simulation Model No.1. The results show that the proposed method restrains the peaks of SNH, eand SNtot, eeffectively while the percentages of time of SNH, eand SNtot, eviolations are less than those of the compared inhibitory control methods, and that the energy consumption using the proposed method is less than that using the counterpart inhibitory control method significantly.关键词
污水处理/决策控制/优化控制/预测模型Key words
Wastewater treatment/optimal control/inhibitory control/prediction model引用本文复制引用
栗三一,乔俊飞,李文静,顾锞..污水处理决策优化控制[J].自动化学报,2018,44(12):2198-2209,12.基金项目
国家自然科学基金(61533002) （61533002）
国家杰出青年科学基金项目(61603009)资助 （61603009）
