Title :
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
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;
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
DOI :
10.1109/AICI.2009.352
