Title: A novel friction model for predicting nonlinear friction dynamics

Authors: Anthony Chidolue Nnaji; William Holderbaum; Victor Becerra

Addresses: Electrical and Electronic Engineering Department, Enugu State University of Science and Technology, Enugu, Nigeria ' Department of Biomedical Engineering, University of Reading, Reading, UK ' School of Energy and Electronic Engineering, University of Portsmouth, Anglesea Building, Anglesea, Portsmouth, UK

Abstract: 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.

Keywords: friction regimes; friction dynamics; friction models; characterisation experiment; Stribeck effect; system identification.

DOI: 10.1504/IJMIC.2021.122497

International Journal of Modelling, Identification and Control, 2021 Vol.38 No.2, pp.105 - 120

Received: 22 Nov 2020
Accepted: 30 Apr 2021
Published online: 28 Apr 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article