Design and Implementation of a Multi-Axis Synchronous Motion System Using Fuzzy PID Control

Because multi-axis servo systems are now widely used in intelligent manufacturing, synchronization control accuracy has naturally become a critical factor affecting system performance. Since traditional PID control has serious shortcomings in handling multi-axis nonlinear and strongly coupled conditions, this paper therefore proposes a PLC-based multi-axis synchronous motion system employing fuzzy PID control. By first analyzing the main sources of disturbance in multi-axis synchronization errors, a cross-coupling error detection and allocation model was naturally and systematically constructed, after which a fuzzy PID online parameter self-tuning method was designed, using the error and its derivative as inputs, to dynamically optimize control parameters. The control algorithm was then implemented in real time on a PLC platform, and a three-axis servo experimental system was built to test its performance. The experimental results clearly show that the proposed method improves the system′s synchronization accuracy and disturbance rejection capability under load disturbances and high-speed reciprocating motion.