Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/69472
DC FieldValue
dc.titleAutomatic friction identification and compensation with a self-adapting dual relay
dc.contributor.authorTan, K.K.
dc.contributor.authorXie, Y.
dc.contributor.authorLee, T.H.
dc.date.accessioned2014-06-19T03:01:07Z
dc.date.available2014-06-19T03:01:07Z
dc.date.issued2003
dc.identifier.citationTan, K.K.,Xie, Y.,Lee, T.H. (2003). Automatic friction identification and compensation with a self-adapting dual relay. Intelligent Automation and Soft Computing 9 (2) : 83-95. ScholarBank@NUS Repository.
dc.identifier.issn10798587
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69472
dc.description.abstractThe application of a dual relay feedback approach towards the identification of frictional effects in servo-mechanisms will be presented in this paper. The friction model, thus identified, will consist of Coulomb (including possibly directional Coulomb or load bias) and viscous friction components, both of which can be automatically extracted from suitably designed relay experiments. At the same time, from the same experiments, the dynamical model of the servo-mechanical system can be obtained from the experiments. These models will be directly useful in the design of the feedback controller and the friction compensator. Results from simulation and experiments are presented to illustrate the practical appeal of the proposed method.
dc.sourceScopus
dc.subjectCoulomb friction
dc.subjectFriction compensation
dc.subjectFriction identification
dc.subjectRelay feedback
dc.subjectViscous friction
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleIntelligent Automation and Soft Computing
dc.description.volume9
dc.description.issue2
dc.description.page83-95
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

52
checked on Jun 14, 2019

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.