Implementation Of Fuzzy Logic Control System For Oxyhydrogen Generators
Abstract
An HHO generator produces a mixture of hydrogen and oxygen gas through the electrolysis process, requiring reliable monitoring and control to ensure safe and efficient operation. This study presents the development of an IoT-based monitoring and control system for an HHO generator using a fuzzy logic approach. The system employs voltage, current, and temperature sensors integrated with an ESP32 microcontroller to acquire real-time operating data. Sensor calibration was conducted by comparing sensor outputs with standard measuring instruments, and the results showed low error values with high accuracy, indicating reliable sensor performance. The measured data are transmitted and visualized in real time through the Blynk IoT platform. A fuzzy logic controller was implemented to automatically control the generator operation based on voltage, current, and temperature conditions. Experimental results demonstrate that the proposed system operates stably, provides accurate monitoring with a reading accuracy of over 98%, and effectively enhances operational safety. The developed system is suitable for small-scale experimental and research applications of HHO generators.
Keywords: HHO Generator, Fuzzy Logic, IoT, Parameter Control, Electrolysis.
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