Adaptive Dual-Drive Synchronization Control Strategy

The dual-drive gantry structure has been wildly used in industrial machines, especially in high-speed and high-loaded equipment. However, it needs precise synchronization control strategies to guarantee the performance. Aiming to the uncertainties in the industrial environment, a strategy with Artificial Bee Colony Algorithm (ABCA) and adaptive cross-coupled synchronization control strategy are adopted to improve the dual-drive control performance. Based on the integral of the time-weighted absolute error criterion, ABCA is used to optimize the tracking ability of single drive subsystem, and the simplified variable universe fuzzy PID type compensator is used to reduce the synchronization error of two parallel drive subsystems in one particular direction. The simulation results and experiment result show that such kind of gantry feed system using proposed control strategy has better synchronization performance.