A New Method of PID Control Based on Improved BP Neural Network
- Resource Type
- Conference
- Authors
- Chunchao Shi; Guoshan Zhang
- Source
- 2006 Chinese Control Conference Control Conference, 2006. CCC 2006. Chinese. :1167-1171 Aug, 2006
- Subject
- Robotics and Control Systems
Components, Circuits, Devices and Systems
Three-term control
Neural networks
Control systems
Pi control
Proportional control
Automation
Electronic mail
MATLAB
Industrial control
Control theory
PID control
Back-propagation (BP) neural network
Improved conjugate gradient
- Language
- ISSN
- 1934-1768
2161-2927
A new type of PID control method based on improved back-propagation (BP) neural network is proposed to deal with the defects of steepest gradient descent in slowly converging and easily sticking into local minimum frequently. It has merits of both neural network and PID controller, and it is adjusted by Fletcher-Reeves conjugate gradient, which can make study speed of network faster and can eliminate the disadvantages of steepest gradient descent in BP algorithm. The parameters of neural network PID controller are adjusted on line by the improved conjugate gradient. The programming steps under MATLAB are finally described. Simulation results show that the controller is effective.