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Adaptive Neuro-fuzzy approach in friction identification

Published under licence by IOP Publishing Ltd
, , Citation Muhammad Zaiyad Muda @ Ismail 2016 IOP Conf. Ser.: Mater. Sci. Eng. 131 012015 DOI 10.1088/1757-899X/131/1/012015

1757-899X/131/1/012015

Abstract

Friction is known to affect the performance of motion control system, especially in terms of its accuracy. Therefore, a number of techniques or methods have been explored and implemented to alleviate the effects of friction. In this project, the Artificial Intelligent (AI) approach is used to model the friction which will be then used to compensate the friction. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is chosen among several other AI methods because of its reliability and capabilities of solving complex computation. ANFIS is a hybrid AI-paradigm that combines the best features of neural network and fuzzy logic. This AI method (ANFIS) is effective for nonlinear system identification and compensation and thus, being used in this project.

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