The Control Analysis of Single Capacity Water Tank Liquid Level System Based on PSO Optimized Fuzzy PID
Keywords:
Simulink simulation, Proportional–Integral–Derivative (PID), control, fuzzy PID control, Particle-Swarm-Optimization (PSO) particle swarm optimization algorithm, automatic control systemAbstract
The liquid level automatic control system of a single-capacity water tank is a common industrial process control system, which is widely used in industrial production. Through simulation research, it can effectively ensure the stability of the liquid level of the water tank and meet the requirements of liquid level control in the production process. In this paper, the automatic control system model of a single-volume water tank level is established by MATLAB/Simulink, and its control system is studied and compared. Firstly, the physical modeling of the control system is carried out to obtain its transfer function, which is the basis for subsequent simulation. Then, the influence of Proportional–Integral–Derivative (PID) control parameters on the dynamic characteristic curve of the system is understood, and then the characteristics and application occasions of fuzzy PID control and Particle-Swarm-Optimization (PSO) control are deduced. Finally, the system dynamic characteristic curves of PID control, fuzzy PID control, and PSO control are compared and analyzed. The simulation results show that PID control, fuzzy PID control, and PSO control are suitable for different occasions, and appropriate control strategies can be adopted according to different control system conditions.