Knowledge Compensation-Based Active Fault-Tolerant Control for Wastewater Treatment Process

fault-tolerant control (FTC), due to its characteristic of fault prevention and mitigation, is an increasingly popular topic in wastewater treatment process (WWTP) for safety purpose. However, the presence of uncertainties and external disturbances inevitably leads to unknown faults in WWTP, making it challenging for FTC strategies using existing fault data to ensure continuous safe and stable operation. To address this issue, a knowledge compensation-based active fault-tolerant control (KC-AFTC) is designed in this article. First, a knowledge-based prescribed performance function (KPPF) is introduced to constrain the transient and steady-state performance of WWTP. Then, the proposed KPPF can assist in KC-AFTC to ensure the operation of WWTP with the desirable performance in the event of faults. Second, a knowledge compensation mechanism (KCM), which is extracted from KPPF and the fault data, is employed to reconstruct the control law for different fault conditions in active FTC (AFTC). Then, KC-AFTC can maintain the continuously safe and stable operation of WWTP. Third, the stability of knowledge compensation-based AFTC (KC-AFTC) is demonstrated through Lyapunov theory. Then, the stability analysis can provide theoretical basis for further application of KC-AFTC in practical experiments. Finally, the proposed control method is validated through both a simulation case and a real WWTP. The results demonstrate that KC-AFTC can achieve outstanding performance in terms of stability and fault tolerance.

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Institutions

Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2025-09-03
DOI
https://doi.org/10.1109/tcyb.2025.3598547
Citations
3
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
3.64

Funders

Controls
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article

Knowledge Compensation-Based Active Fault-Tolerant Control for Wastewater Treatment Process

Haoyuan Sun, Yumeng Xu, Honggui Han, Zheng Liu
3 citations
IEEE Transactions on Cybernetics
Fault Detection and Control Systems
3.64
article

Knowledge Compensation-Based Active Fault-Tolerant Control for Wastewater Treatment Process

Haoyuan Sun, Yumeng Xu, Honggui Han, Zheng Liu
article en
3 citations

Abstract

fault-tolerant control (FTC), due to its characteristic of fault prevention and mitigation, is an increasingly popular topic in wastewater treatment process (WWTP) for safety purpose. However, the presence of uncertainties and external disturbances inevitably leads to unknown faults in WWTP, making it challenging for FTC strategies using existing fault data to ensure continuous safe and stable operation. To address this issue, a knowledge compensation-based active fault-tolerant control (KC-AFTC) is designed in this article. First, a knowledge-based prescribed performance function (KPPF) is introduced to constrain the transient and steady-state performance of WWTP. Then, the proposed KPPF can assist in KC-AFTC to ensure the operation of WWTP with the desirable performance in the event of faults. Second, a knowledge compensation mechanism (KCM), which is extracted from KPPF and the fault data, is employed to reconstruct the control law for different fault conditions in active FTC (AFTC). Then, KC-AFTC can maintain the continuously safe and stable operation of WWTP. Third, the stability of knowledge compensation-based AFTC (KC-AFTC) is demonstrated through Lyapunov theory. Then, the stability analysis can provide theoretical basis for further application of KC-AFTC in practical experiments. Finally, the proposed control method is validated through both a simulation case and a real WWTP. The results demonstrate that KC-AFTC can achieve outstanding performance in terms of stability and fault tolerance.

IEEE Transactions on CyberneticsVol. 55(12)
Ministry of Industry and Information Technology (CN)
National Natural Science Foundation of China, Beijing Nova Program
Openalex Percentile: Top 7%
Fault Detection and Control Systems
3.64
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