DocumentCode
2976050
Title
Neuro-fuzzy control for DC motor friction compensation
Author
Jang, Jun Oh ; Lee, Pyeong Gi
Author_Institution
Dept. of Comput. Control Eng, Uiduk Univ., Kyongju, South Korea
Volume
4
fYear
2000
fDate
2000
Firstpage
3550
Abstract
This paper presents an application of a neuro-fuzzy controller for compensating the effects induced by the friction in a DC motor system. The neuro-fuzzy controller is a combination of a linear controller and a neuro-fuzzy network which compensates for nonlinear friction. The proposed scheme is implemented and tested on an IBM PC-based DC motor control system. The algorithm, simulations, and experimental results are described. The results are relevant for precision drive, such those found in industrial robots
Keywords
DC motors; compensation; control nonlinearities; friction; fuzzy control; fuzzy neural nets; machine control; microcomputer applications; neurocontrollers; DC motor friction compensation; IBM PC-based DC motor control system; industrial robots; linear controller; neuro-fuzzy control; precision drive; Adaptive control; Application software; Control engineering; Control engineering computing; Control nonlinearities; Control systems; DC motors; Friction; Neural networks; Parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location
Sydney, NSW
ISSN
0191-2216
Print_ISBN
0-7803-6638-7
Type
conf
DOI
10.1109/CDC.2000.912255
Filename
912255
Link To Document