DocumentCode :
3012058
Title :
Improvement of Position Controller Based on Fuzzy Neural Network Performance
Author :
Weihua, Jiang ; Hao, Wang
Author_Institution :
Sch. of Electr. & Inf. Eng., Wuhan Insitute of Technol., Wuhan, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
1180
Lastpage :
1182
Abstract :
With the modification of laser sub-marker controlling system, the intelligent harmony close-loop position servo system is designed in this article, which meets the requirement of high performance in position servo system. It bears the advantage of fuzzy controlling and nerve network controlling technology, and it weakens the influence on the system from non-linear factors. Thus the design improves the position accuracy of servo motor and position tracing, which guarantee the precision of three-dimension laser processing system.
Keywords :
closed loop systems; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; position control; servomechanisms; fuzzy neural network performance; intelligent harmony close-loop position servo system; laser submarker controlling system; nerve network controlling technology; nonlinear factors; position controller; three-dimension laser processing system; Accuracy; Artificial neural networks; Equations; Fuzzy control; Regulators; Servomotors; Training; intelligent harmony; laser sub-marker; position; position tracing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.294
Filename :
5631513
Link To Document :
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