An improved dynamic friction model using a data-based approach

Nathan A. Weir; Andrew G. Alleyne

doi:10.1115/DSCC2017-5225

An improved dynamic friction model using a data-based approach

Nathan A. Weir, Andrew G. Alleyne

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

A significant challenge associated with the development of precision motion control systems is the identification and modeling of friction. In particular, dynamic (presliding) friction is often difficult to accurately model in both the time domain and frequency domain simultaneously. We present a data-based modification to an existing friction model, known as the Dahl Dynamic Hysteresis Model (DHM), which incorporates an empirical friction slope function to provide a more accurate representation of arbitrarily shaped hysteresis curves. This data-based approach avoids the added complexity of identifying or fitting model parameters, and can be implemented with a simple look up table. Simulation results are validated with measured friction data collected from an experimental testbed. We show that the data-based approach significantly improves the friction model accuracy in both the time and frequency domains.

Original language	English (US)
Title of host publication	Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems;Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791858295
DOIs	https://doi.org/10.1115/DSCC2017-5225
State	Published - 2017
Externally published	Yes
Event	ASME 2017 Dynamic Systems and Control Conference, DSCC 2017 - Tysons, United States Duration: Oct 11 2017 → Oct 13 2017

Publication series

Name	ASME 2017 Dynamic Systems and Control Conference, DSCC 2017
Volume	3

Other

Other	ASME 2017 Dynamic Systems and Control Conference, DSCC 2017
Country/Territory	United States
City	Tysons
Period	10/11/17 → 10/13/17

Bibliographical note

Publisher Copyright:
Copyright © 2017 ASME.

Publisher link

10.1115/DSCC2017-5225

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Weir, N. A., & Alleyne, A. G. (2017). An improved dynamic friction model using a data-based approach. In Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems;Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems (ASME 2017 Dynamic Systems and Control Conference, DSCC 2017; Vol. 3). American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2017-5225

An improved dynamic friction model using a data-based approach. / Weir, Nathan A.; Alleyne, Andrew G.
Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems;Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems. American Society of Mechanical Engineers, 2017. (ASME 2017 Dynamic Systems and Control Conference, DSCC 2017; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Weir, NA & Alleyne, AG 2017, An improved dynamic friction model using a data-based approach. in Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems;Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems. ASME 2017 Dynamic Systems and Control Conference, DSCC 2017, vol. 3, American Society of Mechanical Engineers, ASME 2017 Dynamic Systems and Control Conference, DSCC 2017, Tysons, United States, 10/11/17. https://doi.org/10.1115/DSCC2017-5225

Weir NA, Alleyne AG. An improved dynamic friction model using a data-based approach. In Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems;Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems. American Society of Mechanical Engineers. 2017. (ASME 2017 Dynamic Systems and Control Conference, DSCC 2017). doi: 10.1115/DSCC2017-5225

Weir, Nathan A. ; Alleyne, Andrew G. / An improved dynamic friction model using a data-based approach. Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems;Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems. American Society of Mechanical Engineers, 2017. (ASME 2017 Dynamic Systems and Control Conference, DSCC 2017).

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An improved dynamic friction model using a data-based approach

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