文献类型：期刊文献

英文题名：Fault Effect Identification-Based Adaptive Performance Self-Recovery Control Strategy for Wastewater Treatment Process

作者：Du, Peihao[1];Zhong, Weimin[1];Peng, Xin[1];Li, Zhongmei[1];Li, Linlin[2]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Univ Sci & Technol Beijing, Sch Automat & Electr Engn, Key Lab Knowledge Automat Ind Proc, Minist Educ, Beijing 100083, Peoples R China

年份：2024

卷号：20

期号：3

起止页码：3585

外文期刊名：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

收录：;EI(收录号：20233914779065);WOS:【SCI-EXPANDED(收录号:WOS:001077448900001)】；

基金：This work was supported in part by the National Natural Science Foundation of China Maior Program under Grant 61890930-3, in part by the National Natural Science Fund for Distinguished Young Scholars under Grant 61925305, in part by the National Natural Science Foundation of China under Grant 62173145 andGrant 62073029, in part by the Shanghai Pujiang Program under Grant 21PJ1402200, and in part by the Fundamental Research Funds forthe Central Universities. Paper no. TII-23-0597

语种：英文

外文关键词：Actuators; Uncertainty; Fuzzy neural networks; Fuzzy logic; Process control; Artificial neural networks; Sliding mode control; Adaptive control; constraint imitation; fault effect identification; performance self-recovery control; wastewater treatment process (WWTP)

摘要：The increasing utilization of wastewater necessitates dedicated attentions to the potential security threats, and formulate strategies for defense, response, and future protection. The nonideal actuator subject to the faults and constraints may underload the driving force and reduce the sewage purification efficiency. This article proposes an adaptive performance self-recovery control strategy for the wastewater treatment process (WWTP) with nonideal actuator. Therein, a Gaussian error function is reconstructed to imitate the asymmetrical actuator constraints. A fault effect identifier is designed to indirectly acquire fault information. Two boundary estimators are co-designed to estimate the infimum of virtual controller gain and the supremum of lumped uncertainty, respectively. The proposed control strategy can largely enhance the faulty performance self-recovery capability of the WWTP, while ensuring robust output regulation and fast convergence. Extensive experiments on dissolved oxygen control are executed on a WWTP platform to show the efficacy of the suggested control scheme.