PID Algorithm Based on PSO Realizes the Dynamic Stable Output of the Robot

This paper uses a PID controller based on a particle swarm optimization (PSO) algorithm to improve the control performance of the robot dynamics system. Although the traditional PID controller is widely used in industrial automation, its control effect is often insufficient in the face of nonlinear and coupled systems, especially when dealing with external disturbances and parameter changes. To solve these problems, the PSO algorithm is used to optimize the parameters of the PID controller, so as to improve the dynamic response, control precision, and steady-state performance of the system. According to MATLAB simulation experiments, compared with the unoptimized PID controller, the PSO-optimized PID controller significantly improves the response speed of the system, reduces the steady-state error, and enhances the robustness of the system. The results show that the PSO optimization algorithm has a wide range of application potential, not only for robot control systems, but also for complex control scenarios such as unmanned aerial vehicles and autonomous driving.