Research and application of constant pressure water supply system based on particle swarm optimization fuzzy PID

As the traditional water supply mode uses valves and baffles to adjust the water flow [1], this flow regulation mode has serious energy waste, big impact on equipment, difficult maintenance, and difficult to efficiently carry out urban water supply. The conventional PID control mode has fixed parameters and is not adaptable sufficient for the time-varying, nonlinear, and large inertia qualities of the water supply system. Therefore, taking a water plant in Gansu Province as the object, the working principle of the continuous water supply system under pressure is analyzed, and the approximate mathematical model is determined according to the engineering experience and operation data. Then, combining optimization of particle swarms algorithm, fuzzy control PID control and an algorithm algorithm, the fuzzy PID controller optimized by particle swarm optimization controller is designed. Simulation results show that PSO based PID control can reduce the overshot of the system, significantly improve the response speed, reduce the frequency and amplitude of oscillation, the system exhibits a robust resistance against interference and significantly enhances its dynamic performance.