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