A Scalable-Bandwidth Extended State Observer-Based Adaptive Sliding-Mode Control for the Dissolved Oxygen in a Wastewater Treatment Process

Wei Wei; Nan Chen; Zhiyuan Zhang; Zaiwen Liu; Min Zuo; Kun Liu; Yuanqing Xia

doi:10.1109/TCYB.2021.3108166

A Scalable-Bandwidth Extended State Observer-Based Adaptive Sliding-Mode Control for the Dissolved Oxygen in a Wastewater Treatment Process

Wei Wei, Nan Chen, Zhiyuan Zhang, Zaiwen Liu, Min Zuo, Kun Liu^*, Yuanqing Xia

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

Strong nonlinearities, uncertainties, and disturbances present great challenges to the control of the dissolved oxygen (DO) in a wastewater treatment process (WWTP). To deal with those undesired issues, in this article, a scalable-bandwidth extended state observer (SESO) is proposed, and the SESO-based adaptive sliding-mode control (ASMC) is designed. By the SESO, the time-varying total disturbance can be estimated more accurately and compensated more effectively. For the disturbances that are not addressed completely, an ASMC is employed to suppress them. Due to the advantages of both SESO and ASMC, the DO can be regulated more desirably. The benchmark simulation model Number 1 is taken to verify the proposed SESO-based ASMC. Comparative simulation results highlight the advantages of the proposed approach.

Original language	English
Pages (from-to)	13448-13457
Number of pages	10
Journal	IEEE Transactions on Cybernetics
Volume	52
Issue number	12
DOIs	https://doi.org/10.1109/TCYB.2021.3108166
Publication status	Published - 1 Dec 2022

Keywords

Adaptive sliding-mode control (ASMC)
benchmark simulation model Number 1 (BSM1)
extended state observer (ESO)
scalable observer bandwidth
wastewater treatment processes (WWTPs)

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10.1109/TCYB.2021.3108166

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title = "A Scalable-Bandwidth Extended State Observer-Based Adaptive Sliding-Mode Control for the Dissolved Oxygen in a Wastewater Treatment Process",

abstract = "Strong nonlinearities, uncertainties, and disturbances present great challenges to the control of the dissolved oxygen (DO) in a wastewater treatment process (WWTP). To deal with those undesired issues, in this article, a scalable-bandwidth extended state observer (SESO) is proposed, and the SESO-based adaptive sliding-mode control (ASMC) is designed. By the SESO, the time-varying total disturbance can be estimated more accurately and compensated more effectively. For the disturbances that are not addressed completely, an ASMC is employed to suppress them. Due to the advantages of both SESO and ASMC, the DO can be regulated more desirably. The benchmark simulation model Number 1 is taken to verify the proposed SESO-based ASMC. Comparative simulation results highlight the advantages of the proposed approach.",

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AU - Liu, Zaiwen

AU - Zuo, Min

AU - Liu, Kun

AU - Xia, Yuanqing

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A Scalable-Bandwidth Extended State Observer-Based Adaptive Sliding-Mode Control for the Dissolved Oxygen in a Wastewater Treatment Process

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Keywords

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