Coupled Tank Non-linear System; Modeling and Level Control using PID and Fuzzy Logic Techniques

TL;DR

This paper models a coupled-tank system and compares PID and fuzzy logic control techniques for maintaining liquid levels, demonstrating their effectiveness through simulation in Matlab/Simulink.

Contribution

It develops a mathematical model of the coupled-tank system and applies both PID and fuzzy control methods, evaluating their performance via simulation.

Findings

Fuzzy logic control effectively maintains tank levels under varying conditions.

PID control provides stable level regulation but less adaptable to disturbances.

Simulation results compare the performance of both control strategies.

Abstract

Liquid level control is very important in industrial field, where the liquid level is required, and to prevent overflows. The coupled-tank is a common system in industrial control processes. The system consists of two tanks connected together and the liquid flows between them. Tanks contain an inlet and outlet for each tank. The main principle of controlling this system is to maintain a constant level of liquid in both tanks when there are an inflow and outflow of liquid in each tank. To control liquid level in the coupled tank system, the mathematical model of the system had been derived and evaluated as a form of linear model. The mathematical model of coupled tank was developed to apply to both conventional and fuzzy control systems where the dynamic behavior of the system was considered. When the system had been designed the corresponding model was implemented in simulation by using Matlab and Simulink tools.