Enhancing water level system based on Fuzzy PID control

Abstract

In specific fields such as industrial manufacturing, the water level control of containers such as water tanks is an important step. To enhance the liquid level control with its efficiency and stability, a fuzzy PID liquid level control system integrates the principles of PID control theory and fuzzy control theory, and Simulink simulation program is used to compare it with traditional PID control in this paper. The liquid level control system will adjust the water flow speed according to the current situation in the tank by using PID control, such as the liquid level height, the rate of change of the height, so that the liquid level height can reach the desired value in the shortest time. The fuzzy control will adjust the output result of the former more precisely, making the whole system more stable and reliable. The results demonstrate that, within the context of a standard water tank system, the response time of the fuzzy PID controller is more rapid compared to the traditional PID controller, with a reduction in response time from 117 seconds to 98 seconds, an improvement of more than 10 percent, but it is consistent with the latter in terms of regulation time, overshoot and steady-state error.