Design And Development Of An Ac Motor Speed Control And Monitoring System Based On Whatsapp Api And Sugeno Fuzzy Logic

Abstract

As the demand for efficient and accessible automation systems increases, integrating widely used communication platforms such as WhatsApp offers a promising solution for control and monitoring applications. This study proposes the design and implementation of a fan speed control system for an AC motor using the WhatsApp API integrated with Sugeno fuzzy logic. The system automatically adjusts fan speed based on two key parameters: ambient temperature and the estimated number of occupants in the room, enabling adaptive and intelligent control. An experimental approach was employed to evaluate system performance across various operational scenarios, focusing on command execution accuracy, the effectiveness of fuzzy logic rule implementation, and the reliability of anomaly detection through alert generation. Test results demonstrate that the system can execute user commands with high precision and deliver responsive automated actions. Furthermore, the integration of fuzzy logic ensures appropriate fan speed adjustments in dynamic environments. This approach not only improves energy efficiency but also enhances user convenience by utilizing WhatsApp a platform that users are already familiar with as the primary communication interface.