Fuzzy Logic Controller for Water Level Detector

Abstract

This paper presents a novel Fuzzy Logic Controller (FLC) designed for a water level detector with a hydrostatic pressure sensor that takes into account two critical parameters: the pressure of water in the tank and the density of air in the tank. As water management becomes more critical, precise control mechanisms are required to maximize resource utilization. The incorporation of hydrostatic pressure sensing, which can capture real-time water level data, provides a solid foundation for the proposed FLC. Unlike traditional controllers, our FLC takes a more nuanced approach by including water pressure and air density as input parameters. The controller mimics human-like reasoning by utilizing fuzzy sets and rule-based decision-making to adapt to the dynamic and uncertain nature of water systems. The FLC improves its ability to respond accurately to fluctuating water levels by conducting a thorough analysis of fuzzy sets and membership functions for both parameters. Simulations and experimental validations demonstrate the FLC's ability to keep precise water levels within predefined thresholds. The addition of air density as a contributing factor improves the controller's ability to adapt to a variety of environmental conditions. The proposed system is a significant step forward in intelligent water management, providing a comprehensive solution for accurate water level detection and control. By presenting a versatile FLC that accounts for multiple influencing factors in real-world applications, this study contributes to the evolving landscape of water resource management.