PID Optimization of Motion Servo Control System Based on Improved Artificial Fish Swarm Algorithm

As one of the most common controllers, PID controller has the characteristics of simple principle and excellent control effect, and is widely used in the field of industrial control. The three parameters of the PID controller: the ratio of proportional (K
_P
), integral (K
_i
), and differential (K
_d
) determine the performance of the controller. In order to solve this problem, an improved algorithm based on artificial fish swarm algorithm (AFSA) is proposed for the optimization of PID of motion servo control system. The simulation results show that the proposed algorithm has a good optimization effect on the PID of the motion servo control system.