A novel friction model for predicting nonlinear friction dynamics

Nnaji, A. C., Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 and Becerra, V. (2022) A novel friction model for predicting nonlinear friction dynamics. International Journal of Modelling, Identification and Control, 38 (2). pp. 105-120. ISSN 1746-6180

Abstract/Summary

In this paper a new dynamic friction model capable of modelling observed friction dynamics is presented. The model incorporates a pre-sliding friction function with non-local memory hysteresis features. Simulations showed the model's ability to predict known friction features. An experimental test-bed was developed and used for friction characterisation through a carefully designed set of experiments. The new model has one parameter more than the LuGre model, which are easy to estimate through system identification. System identification was performed to determine parameters of the proposed friction model as well as the LuGre and GMS models for the purposes of model performance comparison. Experimental and simulation results of the new dynamic friction model with the identified model parameters exhibited a strong correspondence with the results of the characterisation experiments, capturing known friction features. The new friction model being simple both in structure and implementation demonstrated superior capability for modelling friction phenomena than the LuGre and GMS friction models.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/105640
Refereed	Yes
Divisions	Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher	Inderscience
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