Title: Self-organising fuzzy sliding-mode controller for wastewater treatment

Authors: Varuna Kumara; Ezhilarasan Ganesan

Addresses: Department of Electronic Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bengaluru, India; Department of Electronics and Communication Engineering, Moodlakatte Institute of Technology, Kundapura, India ' Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bengaluru, India

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.

Keywords: wastewater treatment process; fuzzy control; SMC controller; optimisation.

DOI: 10.1504/IJGW.2025.146659

International Journal of Global Warming, 2025 Vol.36 No.3, pp.252 - 271

Received: 01 Apr 2024
Accepted: 31 Jan 2025
Published online: 11 Jun 2025 *

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