Please use this identifier to cite or link to this item: https://doi.org/10.1109/3516.974856
DC FieldValue
dc.titleMicro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller
dc.contributor.authorTan, K.K.
dc.contributor.authorLee, T.H.
dc.contributor.authorZhou, H.X.
dc.date.accessioned2014-06-17T02:56:43Z
dc.date.available2014-06-17T02:56:43Z
dc.date.issued2001-12
dc.identifier.citationTan, K.K., Lee, T.H., Zhou, H.X. (2001-12). Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller. IEEE/ASME Transactions on Mechatronics 6 (4) : 428-436. ScholarBank@NUS Repository. https://doi.org/10.1109/3516.974856
dc.identifier.issn10834435
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56625
dc.description.abstractIn this paper, a learning nonlinear proportional integral derivative (PID) controller is developed for vaguely modeled nonlinear systems under the influence of significant disturbance and noise. The control scheme is generic in nature, but it is applied specifically to the micropositioning of linear-piezoelectric motors in this paper. The design of the control scheme does not require a full mathematical model of the nonlinear system. Simulation and experimental results are provided to highlight the good motion control performance achieved from the control scheme.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/3516.974856
dc.sourceScopus
dc.subjectLearning control
dc.subjectMicro-positioning
dc.subjectNonlinear PID control
dc.subjectPiezoelectric actuators
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/3516.974856
dc.description.sourcetitleIEEE/ASME Transactions on Mechatronics
dc.description.volume6
dc.description.issue4
dc.description.page428-436
dc.description.codenIATEF
dc.identifier.isiut000173297700008
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

113
checked on Feb 3, 2023

WEB OF SCIENCETM
Citations

96
checked on Feb 3, 2023

Page view(s)

136
checked on Feb 2, 2023

Google ScholarTM

Check

Altmetric


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