DocumentCode :
2134806
Title :
Controlling the special automatic punch of a transformer using fuzzy neural networks
Author :
Huangxia Shi ; Xiaohong Dong ; Tao Fu
Author_Institution :
Dept. of Electr. & Inf. Eng., Xinjiang Eng. Coll., Urumqi, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
200
Lastpage :
204
Abstract :
A special fully automatic punch processing insulating bar materials for a transformer was developed in this paper. It also introduced the basic structure of the punch and discussed a friction model as well as its effect on a servo system. A control system based upon the fuzzy neural network PID was set up for the friction-driven system of a punch. Meanwhile, experiments were conducted to analyze the performance of the punch and experimental results proved that this kind of punch is characterized by stable running, high-precision operation, as well as excellently static and dynamic properties.
Keywords :
friction; fuzzy neural nets; insulating materials; power engineering computing; transformer testing; control system; friction model; friction-driven system; fuzzy neural network PID; insulating bar materials; servo system; special fully automatic punch; transformer; Friction; Fuzzy control; Fuzzy neural networks; Materials; Mathematical model; Power transformer insulation; Sensors; Feeding mechanism; Insulating material; Neural network; Nonlinear friction; Punch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6817970
Filename :
6817970
Link To Document :
بازگشت