Title :
The dynamic fuzzy method to tune the weight factors of neural fuzzy PID controller
Author :
Yongquan, Yu ; Ying, Huang ; Bi, Zeng
Author_Institution :
Inst. of Intelligent Eng., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
A new method to modify the weight factors of PID neural network (PIDNN) in neural fuzzy PID controller is presented in this paper. The parameter fuzzy inference base (PFIB) is the structure to carry out the weight-value improving. The principle of PFIB is described and the neural fuzzy PID controller has been used in the steel tube pressure detecting system. The result of running shows that the neural fuzzy PID controller with PFIB has the better and satisfactory behavior for real time industrial control processing.
Keywords :
fuzzy control; industrial control; inference mechanisms; neurocontrollers; three-term control; dynamic fuzzy method; neural fuzzy PID controller; parameter fuzzy inference base; real time industrial control processing; steel tube pressure detecting system; weight factors; Automatic control; Bismuth; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Industrial control; Neural networks; Neurons; Three-term control;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1381003
