Fuzzy Logic Control of Liquid Level in a Single Tank with IoT-Based Monitoring System

Abstract

Liquid level monitoring and control is the prime objective in all real-time industrial applications and also in domestic applications. Water level control in power plants is of more significant when contrasted with other parameter control and monitoring. The prime intention of this work is to propose a mode for effectively controlling a liquid level in a tank utilizing fuzzy logic control and IoT technologies. The controller values are premeditated and simulated using MATLAB platform which utilizes Mamdani type Fuzzy implication System. Initially a PI controller is refined to compute the complete working values of controller attributes. Then, using the specified variety of measures, a fuzzy logic control scheme (FLC) is devised for optimal Kp and Ki which adapts itself to the variations in error. The controller receives two inputs: the error input between the reference and controlled outputs, and the latter is the derivative of the error. The valve position is considered as the output. The setup is emulated using MATLAB –Simulink to assure that the controller functions properly in the presence and absence of disturbances. When contrasted with the traditional methods the FLC shows enhanced performance in the aspects of reduced overshoot and reduced settling time. The entire setup is interlinked with Texas processor for real-time IoT monitoring.