• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Han, H.-G. (Han, H.-G..) | Qin, C.-H. (Qin, C.-H..) | Sun, H.-Y. (Sun, H.-Y..) | Qiao, J.-F. (Qiao, J.-F..)

Indexed by:

EI Scopus

Abstract:

Aiming at the problem of time delay affecting stable control in municipal wastewater treatment processes, an adaptive sliding mode control (ASMC) method is proposed in this paper. First, the influence of push-flow time delay on biochemical reaction process of wastewater treatment processes is analyzed. Then, an operating control model of wastewater treatment processes is established. Second, an estimated compensation model, based on fuzzy neural network, is designed. Then, it can complete the accurate prediction of delay variables and realize the moment unification of variables in the control model. Finally, a sliding mode controller (SMC) with adaptive switching gain coefficient is designed. Then, it can realize stable control of dissolved oxygen and nitrate nitrogen. The proposed method is applied to the benchmark simulation model. Experimental results show it can realize stable control of wastewater treatment operating process. © 2023 Science Press. All rights reserved.

Keyword:

fuzzy neural network sliding mode control (SMC) Municipal wastewater treatment process time delay

Author Community:

  • [ 1 ] [Han H.-G.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Qin C.-H.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Sun H.-Y.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Qiao J.-F.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Source :

Acta Automatica Sinica

ISSN: 0254-4156

Year: 2023

Issue: 5

Volume: 49

Page: 1010-1018

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

Affiliated Colleges:

Online/Total:678/10645524
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.