Research on Self-Tuning PID Control Based on BP Neural Network of Multi-Motor Synchronous Control System

摘要

This paper presents a self-tuning PID control strategy based on the BP neural network. The Matlab simulation results on the double-motor synchronous control system show that, the improved PID control strategy has good adaptive and self-learning ability, can effectively improve the quality of synchronous control system.