DocumentCode
2099702
Title
A novel hybrid stepping motor fuzzy-neural position servo system
Author
Jingzhuo, Shi ; Dianguo, Xu ; Zongpei, Wang
Author_Institution
Dept. of Electr. Eng., Harbin Inst. of Technol., China
Volume
1
fYear
2001
fDate
2001
Firstpage
53
Abstract
The stepping motor servo system is a nonlinear, strong coupling system. It is difficult to control the complicated system using the traditional control theory. In this paper, the fuzzy control theory combined with the neural network is used to build a hybrid stepping motor position servo system. The experiment results show that, the novel position servo system has good performance
Keywords
fuzzy control; machine control; neural nets; position control; servomotors; stepping motors; fuzzy control theory; fuzzy-neural position servo system; hybrid stepping motor; integrated position sensor; neural network; neural network compensator; neural network linearization; nonlinear strong coupling system; winding current commutation delay; Control systems; Couplings; Fuzzy control; Fuzzy systems; Neural networks; Open loop systems; Resonance; Servomechanisms; Servomotors; Synchronous motors;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location
Denver, CO
Print_ISBN
0-7803-7108-9
Type
conf
DOI
10.1109/IECON.2001.976453
Filename
976453
Link To Document