Optimization of PID Control Parameters of Overhead Crane Based on Grey Wolf Optimizer

Aiming at the problem that the overhead crane has a large swing amplitude and slow response to the designated position during the operation of the overhead crane, an overhead crane PID control system using grey wolf optimizer (GWO) to optimize the PID control parameters is proposed. Firstly, a dynamic model of the bridge crane is established. And its position and angle are controlled by dual PID. Then the corresponding Simulink model is designed. Besides, the optimized PID parameters and the PID parameters obtained from the empirical value are brought into the Simulink model for simulation. It is found that the PID controller optimized by grey wolf optimizer has a better control effect, which verifies the effectiveness of the control system.