Fuzzy PID Control Performance Analysis for Robotic Arm System Research

The need for robotic arm control in the realm of industrial automation is growing as technology progresses. In view of the challenges of speed step, external disturbance, and joint friction leading to loss of control accuracy in robotic arm trajectory tracking, the classic PID control system is difficult to meet the requirements of high precision operation. In order to maximize dynamic responsiveness, this research suggests a fuzzy PID control scheme 1. In the MATLAB Simulink environment, the KUKA KR6R700 six axis robotic arm serves as the simulation object. The results demonstrate that compared with the traditional PID control system, the fuzzy PID control system shortens the joint adjustment time by 43.72 percent reduced by 2.37 seconds, considerably improves the fit of the robotic arm joint trajectory, and has less trajectory deviation and smoother transition. Its capacity to retain strong robustness and trajectory tracking even in challenging work situations is particularly impressive. According to the research, the suggested approach can significantly increase the motion control accuracy of robotic arms in automated production workshops.