Implementation of a neuro-fuzzy controller for DC motor friction compensation

Autor: Hee Tae Chung, Young Deuk Moon, Jun Oh Jang
Rok vydání: 2003
Předmět:
Zdroj: Proceedings of the 5th Biannual World Automation Congress.
DOI: 10.1109/wac.2002.1049586
Popis: 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.
Databáze: OpenAIRE