Research on Motion Control of Workshop Handling Robots Based on Fuzzy PID

As an essential device in the field of intelligent manufacturing, the motion control precision and stability of workshop handling robots directly impact production efficiency. Traditional PID control has limitations, such as slow response and large overshoot, when dealing with nonlinear and time-varying systems. Fuzzy PID control, by introducing fuzzy logic, enables online adaptive adjustment of PID parameters, effectively enhancing the robustness and dynamic performance of the control system. This study focuses on workshop handling robots and proposes a motion control method based on fuzzy PID. First, the motion control requirements and challenges for workshop handling robots are analyzed. Next, fuzzy control rules are designed, and parameter self-tuning is implemented by integrating traditional PID control. Finally, simulations and experiments demonstrate the significant advantages of the proposed method in path tracking accuracy, stability, and anti-interference capabilities. The results indicate that the fuzzy PID-based control method is better suited to complex workshop environments, providing an efficient and reliable solution for robot motion control in intelligent manufacturing.