Research on Improved Cross-Coupling Control Based on Dual Motors
摘要
The improved cross-coupling algorithm based on wavelet neural network is put forward in this paper. This algorithm introduces a wavelet neural network to dynamically adjust the gain coefficient based on the synchronization error of the dual-motor system and racking error of the dual-motor system. The goal is to enhance the synchronization control performance of the dual-motor system. Experimental comparisons are conducted to validate that the improved cross-coupling structure achieves better synchronization control performance.