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A survey of models, analysis tools and compensation methods for the control of machines with friction
Open accessAbstract
While considerable progress has been made in friction compensation, this is, apparently, the first survey on the topic. In particular, it is the first to bring to the attention of the controls community the important contributions from the tribology, lubrication and physics literatures. By uniting these results with those of the controls community, a set of models and tools for friction compensation is provided which will be of value to both research and application engineers. The successful design and analysis of friction compensators depends heavily upon the quality of the friction model used, and the suitability of the analysis technique employed. Consequently, this survey first describes models of machine friction, followed by a discussion of relevant analysis techniques and concludes with a survey of friction compensation methods reported in the literature. An overview of techniques used by practising engineers and a bibliography of 280 papers is included.
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Cited by
Kinkaid, N. M., O'Reilly, O. M., & Papadopoulos, P. (2003) · Journal of Sound and Vibration · doi:10.1016/s0022-460x(02)01573-0 · Cited by 788
Adaptive Command-Filtered Backstepping Control of Robot Arms With Compliant Actuators
Pan, Y., Wang, H., Li, X., & Yu, H. (2018) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2017.2695600 · Cited by 210
Novel gait adaptation and neuromotor training results using an active leg exoskeleton
Banala, S. K., Agrawal, S. K., Kim, S. H., & Scholz, J. P. (2010) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2010.2041245 · Cited by 165
Robust Tracking Under Nonlinear Friction Using Time-Delay Control With Internal Model
Cho, G. R., Chang, P. H., Park, S. H., & Jin, M. (2009) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2008.2007650 · Cited by 89
Pan, Q., Ma, B., An, T., Dong, B., Zhu, M., & Li, Y. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122944 · Cited by 9
Metadata
- Authors
- Armstrong-Hélouvry, B., Dupont, P., & De Wit, C. C.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 1994-07
- Volume
- 30
- Issue
- 7
- Pages
- 1083-1138
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2091881639
- Cited by
- 2,678
- References
- 0
- FWCI
- 67.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: A survey of models, analysis tools and compensation methods for the control of machines with friction. https://app.cochat.ai/papers/10.1016/0005-1098(94)90209-7
- The paper
- Armstrong-Hélouvry, B., Dupont, P., & De Wit, C. C. (1994). A survey of models, analysis tools and compensation methods for the control of machines with friction. Automatica. https://doi.org/10.1016/0005-1098(94)90209-7
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
