Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane

The bridge-type bridge crane is a common lifting equipment used in modern factories and workshops. During the crane’s operation, positioning of trolley swing load can significantly impact safety reliability. In this paper, we propose variable universe fuzzy multi-parameter self-tuning PID (VUFMS-PID) control strategy for controlling trolley’s movement. Our uses scaling factor variation to dynamically adjust number rules based on system error rate change. This approach improves accuracy enhances stability safety. Simulation results demonstrate that our proposed outperforms both traditional strategies. Specifically, it reduces time maximum angle load. exhibits good adaptive ability robustness, which further operation.