This study addresses the automation of a corona discharge-based drinking water disinfection system and its control using water quality monitoring tools. The research proposes an automated control system that dynamically adjusts the corona discharge parameters based on water quality parameters (pH, turbidity, electrical conductivity). The following key results were obtained: the system consistently maintained microorganism inactivation efficiency between 99,9% and 99,99%, even under fluctuating water qualityconditions. For instance, at a turbidity level of 10 NTU, the disinfection efficiency dropped to 99,8%, while at pH values ranging from 6,5 to 8,5, the efficiency remained between 99,9% and 99,99%. The energy consumption was 20%-35% lower compared to traditional methods; for example, the energy consumption for UV irradiation methods ranged from 0,05 to 0,15 kWh/m3, while the corona discharge method remained between 0,5 and 2,0 kWh/m3. The initial models and control algorithms improved the system's performance in real-time, ensuring stable operation despite changes in water quality parameters. The results demonstrate the significant advantages of the corona discharge method in terms of energy efficiency and stability, proving its ability to maintain high disinfection efficiency even with continuous variations in water quality. Furthermore, this system provides an environmentally friendly and energy-efficient solution for drinking water disinfection.