Fuzzy super-twisting sliding mode control for municipal wastewater nitrification process  

作　　者：HAN HongGui WANG Tong SUN HaoYuan WU XiaoLong LI Wen QIAO JunFei 

机构地区：[1]Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China [2]School of Mechanical and Materials Engineering,North China University of Technology,Beijing 100041,China

出　　处：《Science China(Technological Sciences)》2022年第10期2420-2428,共9页中国科学（技术科学英文版）

基　　金：supported by the National Nutural Science Foundation of China (Grant Nos. 61890930-5, 61903010, 62021003 and 62125301);the National Key Research and Development Project (Grant No.2018YFC1900800-5);Beijing Outstanding Young Scientist Program (Grant No. BJJWZYJH01201910005020);Beijing Natural Science Foundation(Grant No. KZ202110005009);CAAI-Huawei MindSpore Open Fund(Grant No. CAAIXSJLJJ-2021-017A);Beijing Postdoctoral Research Foundation

摘　　要：A fuzzy super-twisting algorithm sliding mode controller is developed for the dissolved oxygen concentration in municipal wastewater nitrification process. First, a fuzzy neural network(FNN) model is designed to approach the oxygen dynamics with unmeasurable disturbances, then the established model consists of the nominal system model and the modelling error. Second,based on the FNN model, a super-twisting sliding mode controller is employed to stabilize the nominal system and to suppress the modelling error. Moreover, the stability of the system is investigated and an adaption law is applied to ensure the robustness of the closed-loop system. Finally, the comparison experiments on benchmark simulation model no. 2(BSM2) of wastewater treatment show the advantages of the proposed method in multiple-units oxygen concentration control.

关 键 词：fuzzy neural network super-twisting sliding mode control robust multivariable control municipal wastewater nitrification process 

分 类 号：X703[环境科学与工程—环境工程]