A multi-variable sewage treatment optimization control method and system based on a fuzzy neural network

By using a multivariate optimization control method based on fuzzy neural networks, the problem of the inability to adaptively regulate the nitrate nitrogen concentration in the anoxic tank and the dissolved oxygen concentration in the aerobic tank was solved, thus achieving efficient and stable operation of the wastewater treatment plant.

CN121165479BActive Publication Date: 2026-06-23LIAONING UNIVERSITY OF TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
LIAONING UNIVERSITY OF TECHNOLOGY
Filing Date
2025-09-22
Publication Date
2026-06-23

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Abstract

The application discloses a multivariable sewage treatment optimization control method and system based on a fuzzy neural network, belongs to the technical field of sewage treatment, and comprises the following steps: determining a control parameter, and acquiring an actual concentration value and a set concentration value of the control parameter in sewage; acquiring a concentration error based on the actual concentration value and the set concentration value; acquiring an ideal weight vector and an estimate of the control parameter based on an identifier-comment-execution-fuzzy neural network; acquiring a weight error based on the ideal weight vector and the estimate; acquiring a Lyapunov function of the control parameter based on the concentration error and the weight error; acquiring an update law of the identifier estimate based on the Lyapunov function; and adjusting the concentration of the control parameter based on the update law to reduce the concentration error and optimize the control process of sewage treatment. The application estimates unknown functions by using an identifier-comment-execution-fuzzy neural network in a design process, and realizes efficient adaptive control of sewage treatment.
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Patent Citations

  • Sewage treatment process control method based on generalized value iteration

    CN113741182A

  • Self-adaptive tracking control method for dissolved oxygen in sewage treatment process based on fuzzy neural network

    CN116339127A