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
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;
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
DOI :
10.1109/IECON.2001.976453
