Self-organising fuzzy sliding-mode controller for wastewater treatment

Wastewater treatment process (WWTP) has attracted increasing interest in protecting natural waters. However, the operation of WWTP is difficult because of physical, chemical, and biological phenomena associated with treatment units. Therefore, this paper suggested a self-organising fuzzy-based sliding-mode control (FSMC) for enhancing WWTP operation performance. Simulations and testing demonstrate self-organising fuzzy-based SMC (SO-FSMC's) superior control performance. This comprehensive analysis enables the understanding of how FSMC, coupled with Jaya optimisation, influences the distribution of specific chemical species throughout the treatment process. Accordingly, the adopted method attains very less computational time of 2.718 s, which is higher than other existing algorithms. Accordingly, the result shows that the proposed SO-FSMC method outperforms other techniques in terms of exergy efficiency, yielding values of 3.00E+11 for bioreactor 1, 1.99913 for bioreactor 2, 17.999 for bioreactor 3, 1.97094 for bioreactor 4, and 1.9739 for bioreactor 5.

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Publication Details

Journal
International Journal of Global Warming
Published
2025-01-01
DOI
https://doi.org/10.1504/ijgw.2025.146659
Primary Topic
Fuzzy Logic and Control Systems
Type
article
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article

Self-organising fuzzy sliding-mode controller for wastewater treatment

Varuna Kumara, Ezhilarasan Ganesan
International Journal of Global Warming
Fuzzy Logic and Control Systems
article

Self-organising fuzzy sliding-mode controller for wastewater treatment

Varuna Kumara, Ezhilarasan Ganesan
article en

Abstract

Wastewater treatment process (WWTP) has attracted increasing interest in protecting natural waters. However, the operation of WWTP is difficult because of physical, chemical, and biological phenomena associated with treatment units. Therefore, this paper suggested a self-organising fuzzy-based sliding-mode control (FSMC) for enhancing WWTP operation performance. Simulations and testing demonstrate self-organising fuzzy-based SMC (SO-FSMC's) superior control performance. This comprehensive analysis enables the understanding of how FSMC, coupled with Jaya optimisation, influences the distribution of specific chemical species throughout the treatment process. Accordingly, the adopted method attains very less computational time of 2.718 s, which is higher than other existing algorithms. Accordingly, the result shows that the proposed SO-FSMC method outperforms other techniques in terms of exergy efficiency, yielding values of 3.00E+11 for bioreactor 1, 1.99913 for bioreactor 2, 17.999 for bioreactor 3, 1.97094 for bioreactor 4, and 1.9739 for bioreactor 5.

International Journal of Global WarmingVol. 36(3)
Jain University (IN)
Clean water and sanitation
Openalex Percentile: Top 94%
Fuzzy Logic and Control Systems
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