The Research of Complex BP Neural Network PID Control

Author

Xue, Yang ; Ye, Jian-hua ; Qian, Hong ; Yang, Xu-hong

Author_Institution

Fac. of Electr. & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China

Volume

4

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

55

Lastpage

58

Abstract

In this paper, a new kind of intelligent PID control method based on BP neural network is presented and a complex neural network PID controller is designed. The NN controller has strong self-adaptability and self-learning abilities. Experimental results on different complex objects prove that, the control method has better performances than traditional PID controller. The system using neural network has high control accuracy, strong adaptability and good control results.

Keywords

adaptive control; neurocontrollers; three-term control; complex BP neural network PID control; intelligent PID control; self-adaptability ability; self-learning ability; Artificial intelligence; Artificial neural networks; Automatic control; Computational intelligence; Control systems; Design engineering; Network topology; Neural networks; Neurons; Three-term control; Artificial neural network; BP algorithm; PID control;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.352

Filename

5376438