CONTROL OF WASTEWATER TREATMENT PROCESSES USING A FUZZY LOGIC APPROACH.

Abstract: The issue of pure water is currently one of the most critical concerns facing the global population. Wastewater treatment technologies are seen as one of the solutions to these water shortages. At present, despite the advancements in water treatment technology, there are still drawbacks in terms of energy consumption, the recovery ratio, and control. To solve the issues mentioned above, a proper control method for water treatment technology is also crucial. In this work, the development and implementation of a fuzzy logic approach to control industrial wastewater treatment technology using an ion-exchange resin are presented. Initially, ion-exchange resin technology was developed in the laboratory as a pilot device and tested to purify wastewater at the Kungrad Soda Plant in Uzbekistan. According to technical instructions, the hardness of purified water should not exceed 3 mEq/l, the total dissolved solids (TDSs) should not exceed 40 ppm, and the pH should remain below 7.5. Based on these data, the membership functions (MFs) of the parameters were formed, and the model of controlling the process through the fuzzy logic controller was developed. The developed fuzzy logic controller model was compared with the traditional controller (PID). The energy consumption ranged from 2 to 2.5 kJ/m3, and the settling time was 46 seconds when the process was controlled by a PID controller. By implementing the developed fuzzy logic controller in the process, it is possible to decrease energy consumption by 1.8–2 kJ/m3 and the settling time by 28 seconds.