DocumentCode
2485928
Title
Implementation of a neuro-fuzzy controller for DC motor friction compensation
Author
Jang, Jun Oh ; Chung, Hee Tae ; Moon, Young Deuk
Author_Institution
Dept. of Comput. Control Eng., Uiduk Univ., Kyongju, South Korea
Volume
13
fYear
2002
fDate
2002
Firstpage
468
Lastpage
473
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 neurofuzzy 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 drives, such those found in industrial robots.
Keywords
DC motors; compensation; friction; fuzzy control; neurocontrollers; DC motor; friction; friction compensation; neuro-fuzzy control; neuro-fuzzy controller; nonlinear friction; Control nonlinearities; Control systems; DC motors; Friction; Fuzzy neural networks; Neural networks; Neurofeedback; Nonlinear control systems; Permanent magnet motors; Servomotors;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2002 Proceedings of the 5th Biannual World
Print_ISBN
1-889335-18-5
Type
conf
DOI
10.1109/WAC.2002.1049586
Filename
1049586
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