Application of an adaptive neuro-fuzzy inference system to control the wastewater treatment process

Jaloliddin Eshbobaev, Bakhodir Khamidov, Marcos Fallanza

Кимёвий технология. Назорат ва бошқарув · 2025-yil

Annotatsiya

This study explores the application of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for controlling wastewater treatment processes using ion-exchange resins. It addresses the critical challenges of water scarcity and pollution by enhancing the regulation of water hardness (H) and Total Dissolved Solids (TDS). Using a pilot laboratory device and experimental data from the mixed wastewater of the Kungrad Soda Plant in Uzbekistan, an ANFIS model was developed in MATLAB to automate process control. The model leverages water hardness and TDS as input parameters to regulate the water flow rate by servo valve opening degree, ensuring precise and efficient treatment. Compared to fuzzy logic models, ANFIS achieves a 3–4 second reduction in settling time and significantly lowers error rates. This enhanced control not only optimizes water hardness and TDS regulation but also ensures greater consistency and efficiency. Experimental results indicate that adopting ANFIS for real-time parameter adjustments can reduce energy consumption by up to 1.3%. These findings highlight the potential of ANFIS as a superior solution for controlling dynamic and nonlinear wastewater treatment processes.

Maqola ma’lumotlari
MualliflarJaloliddin Eshbobaev, Bakhodir Khamidov, Marcos Fallanza
JurnalКимёвий технология. Назорат ва бошқарув
NashriyotТошкент давлат техника университети, «Ўзқурилишматериаллар» ДАК, «Ўзкимёсаноат» ДАК, «Совпластитал» ҚҚ, Ўзбекистон Интеллектуал мулк агентлиги
ISSN2181-1105, 1815-4840
Nashr sanasi2025-02-28
Jild2025
Son1
Betlar52-60
TilIngliz
DOI10.59048/2181-1105.1654
Indeksga qo‘shilgan2026-09-02

Iqtibos keltirish

APAJaloliddin Eshbobaev, Bakhodir Khamidov, & Marcos Fallanza (2025). APPLICATION OF AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM TO CONTROL THE WASTEWATER TREATMENT PROCESS. Кимёвий технология. Назорат ва бошқарув, 2025(1), 52-60. https://doi.org/10.59048/2181-1105.1654
GOST (OAK)Jaloliddin Eshbobaev, Bakhodir Khamidov, Marcos Fallanza APPLICATION OF AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM TO CONTROL THE WASTEWATER TREATMENT PROCESS // Кимёвий технология. Назорат ва бошқарув. – 2025. – T. 2025, № 1. – P. 52-60. – DOI: 10.59048/2181-1105.1654.
MLAJaloliddin Eshbobaev, Bakhodir Khamidov, and Marcos Fallanza. “APPLICATION OF AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM TO CONTROL THE WASTEWATER TREATMENT PROCESS.” Кимёвий технология. Назорат ва бошқарув, 2025(1), 52-60, 2025. https://doi.org/10.59048/2181-1105.1654
ChicagoJaloliddin Eshbobaev, Bakhodir Khamidov, and Marcos Fallanza. “APPLICATION OF AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM TO CONTROL THE WASTEWATER TREATMENT PROCESS.” Кимёвий технология. Назорат ва бошқарув, 2025(1), 52-60 (2025). https://doi.org/10.59048/2181-1105.1654
HarvardJaloliddin Eshbobaev, Bakhodir Khamidov, and Marcos Fallanza (2025) ‘APPLICATION OF AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM TO CONTROL THE WASTEWATER TREATMENT PROCESS’, Кимёвий технология. Назорат ва бошқарув, 2025(1), 52-60. https://doi.org/10.59048/2181-1105.1654
BibTeX
@article{jaloliddineshbobaev2025,
  title = {APPLICATION OF AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM TO CONTROL THE WASTEWATER TREATMENT PROCESS},
  author = {Jaloliddin Eshbobaev and Bakhodir Khamidov and Marcos Fallanza},
  journal = {Кимёвий технология. Назорат ва бошқарув},
  year = {2025},
  volume = {2025},
  number = {1},
  pages = {52-60},
  doi = {10.59048/2181-1105.1654},
  url = {https://doi.org/10.59048/2181-1105.1654}
}

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