A Tuning Method for PID Controller Parameters Based on Particle Swarm Optimization (PSO)

In order to stabilize the operation of the pressure stabilizer in the nuclear power industry, it is necessary to use PID controller to control the pressure and water level control system of the pressure stabilizer. PSO, as an intelligent algorithm, can solve the problem of complex parameter tuning process. PSO algorithm, which combines matlab programming and Simulink simulation, is proposed to tune parameters of PID controller. The simulation results show that the proposed method not only improves the time consumption significantly, but also has better step response than the industrial tuning method.