Improved PID Controller Based on BP Neural Network

Abstract The traditional PID controller is widely used to improve the stability of system because its simplicity and convenience. However, disadvantage control method that parameters are difficult adjust in real-time, it can not adapt needs variable targets different states, affecting controller’s practical application effect. Therefore, using idea hierarchical learning self-adjusting control, this paper optimizes based on BP neural network. experimental results show automatically parameters, accuracy achieve rapid response.