DocumentCode
2235502
Title
An auto-adaptive PID control method based on RBF neural network
Author
Yue, Weiqiang ; Feng, Shuxing ; Zhang, Qiang
Author_Institution
Inst. of Mil. Transp., Acad. of Mil. Transp., Tianjin, China
Volume
3
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Aimed at the difficulty of nonlinear system control, take advantage of the high exactitude approaching ability of RBF neural network to nonlinear system, a model identification method based on neural network is formed. At the same time, use the single-neuron Net to construct an auto-adaptive PID controller. Combine them, a new control method appear. The result of the simulation indicated that the method has a concise algorithm and high accuracy.
Keywords
adaptive control; neurocontrollers; nonlinear control systems; radial basis function networks; three-term control; RBF neural network; auto-adaptive PID control; nonlinear system control; single-neuron net; Auto-adaptive PID; Model Identification; Nonlinear System; RBF Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579863
Filename
5579863
Link To Document