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Adaptive Fuzzy Control of Sludge Conditioning and Pressing

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  • Luo Long

Abstract

The basic technological process of sludge conditioning and pressing is introduced in this paper. The purpose is to set up an adaptive fuzzy control algorithm to treat the problems of conditioning, mixing, feeding, and pressing control, so that the equipment used to process the sludge can run on demand. The algorithm is verified by MATLAB simulation. The results show that the control accuracy of the fuzzy adaptive control system is significantly improved compared with the original PID (proportion integration differentiation) control algorithm. The upper computer program is compiled with VB (visual basic) and applied to industry control to save the energy consumption.

Suggested Citation

  • Luo Long, 2022. "Adaptive Fuzzy Control of Sludge Conditioning and Pressing," Advances in Mathematical Physics, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jnlamp:v:2022:y:2022:i:1:n:2946497
    DOI: 10.1155/2022/2946497
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    References listed on IDEAS

    as
    1. Beata Bień & Jurand D. Bień, 2022. "Analysis of Reject Water Formed in the Mechanical Dewatering Process of Digested Sludge Conditioned by Physical and Chemical Methods," Energies, MDPI, vol. 15(5), pages 1-14, February.
    2. Mariusz Kowalczyk & Tomasz Kamizela, 2021. "Artificial Neural Networks in Modeling of Dewaterability of Sewage Sludge," Energies, MDPI, vol. 14(6), pages 1-16, March.
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