High performance intelligent PID control system and application

PID (Proportional Integral Derivative) controllers are widely used in industrial process control system.Tuning the parameters of PID controller is very important in PID control. Neural network algrithm is a massively parallel, distributed information processing system; it has self-learning, adaptive, non-linear mapping capabilities and fault-tolerance, and achieved certain results in the field of control. Ordinary BP neural networks PID controller was mentioned in document, it had a good robust performance. But its precision and performance can be improved by high-order BP neural networks which is introduced and used in this document.The simulation result shows that Frequency Control System Compared to regular high BP network convergence speed, high precision control, fast response, achieve the purpose of raising the quality and effectiveness of control.