A Fuzzy-Based System for Water pH and Conductivity Level Management

Maintaining pH, conductivity, and water tank levels is essential for water quality in industrial heat transfer applications. Traditional Proportional-Integral-Derivative (PID) controllers may struggle to manage nonlinear relationships and process dynamics. To address this challenge, this paper proposes using a Mamdani-type Fuzzy Logic Controller (FLC) designed specifically for industrial settings. The FLC uses sensor data to regulate control valves and achieve the desired water quality and quantity. The results demonstrate the effectiveness of the FLC in managing complex industrial water systems.