Robust optimal control for anaerobic-anoxic-oxic reactors

作     者：HAN HongGui ZHANG JiaCheng DU ShengLi SUN Hao Yuan QIAO JunFei HAN HongGui;ZHANG JiaCheng;DU ShengLi;SUN HaoYuan;QIAO JunFei

作者机构：Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing100124China Engineering Research Center of Digital CommunityMinistry of EducationBeijing100124China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2021年第64卷第7期

页      面：1485-1499页

核心收录：

学科分类：080706[工学-化工过程机械] 083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：supported by the National Key Research and Development Project (Grant No. 2018YFC1900800-5) the National Natural Science Foundation of China (Grant Nos. 61890930-5 and 61622301) Beijing Natural Science Foundation (Grant No. 4172005) Beijing Outstanding Young Scientist Program (Grant No. BJJWZYJH01 201910005020) 

主　　题：anaerobic-anoxic-oxic reactors robust optimal control robust optimization fuzzy neural network 

摘      要：Anaerobic-anoxic-oxic(A_2O) reactors, as the core parts of wastewater treatment process(WWTP), have attracted considerable attention to achieve the reliability of denitrification and dephosphorization. However, it is difficult to realize the optimal operation of A_2O reactors due to the existence of nonlinear dynamics and large uncertainties. To solve this problem, a robust optimal control(ROC) strategy is developed to improve the operation performance of A_2O reactors. First, data-driven systematic evaluation criteria are developed to describe the operational indicators of changeable conditions. Second, a robust optimization algorithm is designed to select the optimal solution. Third, a fuzzy neural network(FNN) is used to track the optimal solution in the control process. Finally, this proposed ROC strategy is applied to the phosphorus removal benchmark simulation model(BSM1-P) and the real A_2O reactors. The results demonstrate that the strategy developed in this paper has great potential for application in real A_2O reactors.