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作者:

Han, Honggui (Han, Honggui.) | Tang, Zecheng (Tang, Zecheng.) | Li, Hongjie (Li, Hongjie.) | Yang, Hongyan (Yang, Hongyan.) | Wu, Xiaolong (Wu, Xiaolong.)

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Scopus SCIE

摘要:

Wastewater treatment processes (WWTPs) possess the characteristics of multiple disturbances, which make it difficult to achieve the accurate control of desired dissolved oxygen (DO) concentration. To address this issue, this paper proposes a robust inverse control strategy based on disturbance boundary estimation (DBE-RIC). First, a nonlinear disturbance observer based on disturbance boundary estimation is introduced to reconstruct the disturbances, which enables DBE-RIC to deal with internal and external disturbances simultaneously. Second, an inverse controller based on inverse transformation and the reconstructed disturbance signals is designed to obtain the control law under unknown dynamics of WWTPs. Third, a projection operator is presented to adjust the controller parameters online. Then, the RIC controller can accomplish the accurate tracking control of DO concentration. Furthermore, the stability of the proposed strategy in the sense of Lyapunov and the guidelines associated with the control parameters are given. Lastly, the experimental results on the benchmark simulation platform BSM1 demonstrate the feasibility and superiority of DBE-RIC compared to other methods.

关键词:

dissolved oxygen disturbance boundary estimation wastewater treatment process robust inverse control

作者机构:

  • [ 1 ] [Han, Honggui]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing 100124, Peoples R China
  • [ 2 ] [Tang, Zecheng]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Hongjie]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Hongyan]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing 100124, Peoples R China
  • [ 5 ] [Wu, Xiaolong]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing 100124, Peoples R China
  • [ 6 ] [Han, Honggui]Beijing Univ Technol, Engn Res Ctr Digital Community, Minist Educ, Beijing, Peoples R China
  • [ 7 ] [Tang, Zecheng]Beijing Univ Technol, Engn Res Ctr Digital Community, Minist Educ, Beijing, Peoples R China
  • [ 8 ] [Li, Hongjie]Beijing Univ Technol, Engn Res Ctr Digital Community, Minist Educ, Beijing, Peoples R China
  • [ 9 ] [Yang, Hongyan]Beijing Univ Technol, Engn Res Ctr Digital Community, Minist Educ, Beijing, Peoples R China
  • [ 10 ] [Wu, Xiaolong]Beijing Univ Technol, Engn Res Ctr Digital Community, Minist Educ, Beijing, Peoples R China

通讯作者信息:

  • [Wu, Xiaolong]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing 100124, Peoples R China;;

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来源 :

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

ISSN: 1049-8923

年份: 2024

3 . 9 0 0

JCR@2022

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