Tracking control of piezoelectric actuator using adaptive model

Piezoelectric actuators (PEAs) have been widely used in micro- and nanopositioning applications due to their fine resolution, rapid responses, and large actuating forces. However, a major deficiency of PEAs is that their accuracy is seriously limited by hysteresis. This paper presents adaptive model...

Descripción completa

Detalles Bibliográficos
Autores principales: Minh, Tran Vu, Linh, Nguyen Manh, Chen, Xinkai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863037/
https://www.ncbi.nlm.nih.gov/pubmed/27226952
http://dx.doi.org/10.1186/s40638-016-0039-x
_version_ 1782431416802344960
author Minh, Tran Vu
Linh, Nguyen Manh
Chen, Xinkai
author_facet Minh, Tran Vu
Linh, Nguyen Manh
Chen, Xinkai
author_sort Minh, Tran Vu
collection PubMed
description Piezoelectric actuators (PEAs) have been widely used in micro- and nanopositioning applications due to their fine resolution, rapid responses, and large actuating forces. However, a major deficiency of PEAs is that their accuracy is seriously limited by hysteresis. This paper presents adaptive model predictive control technique for reducing hysteresis in PEAs based on autoregressive exogenous model. Experimental results show the effectiveness of the proposed method.
format Online
Article
Text
id pubmed-4863037
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-48630372016-05-23 Tracking control of piezoelectric actuator using adaptive model Minh, Tran Vu Linh, Nguyen Manh Chen, Xinkai Robotics Biomim Research Piezoelectric actuators (PEAs) have been widely used in micro- and nanopositioning applications due to their fine resolution, rapid responses, and large actuating forces. However, a major deficiency of PEAs is that their accuracy is seriously limited by hysteresis. This paper presents adaptive model predictive control technique for reducing hysteresis in PEAs based on autoregressive exogenous model. Experimental results show the effectiveness of the proposed method. Springer Berlin Heidelberg 2016-05-10 2016 /pmc/articles/PMC4863037/ /pubmed/27226952 http://dx.doi.org/10.1186/s40638-016-0039-x Text en © Minh et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Minh, Tran Vu
Linh, Nguyen Manh
Chen, Xinkai
Tracking control of piezoelectric actuator using adaptive model
title Tracking control of piezoelectric actuator using adaptive model
title_full Tracking control of piezoelectric actuator using adaptive model
title_fullStr Tracking control of piezoelectric actuator using adaptive model
title_full_unstemmed Tracking control of piezoelectric actuator using adaptive model
title_short Tracking control of piezoelectric actuator using adaptive model
title_sort tracking control of piezoelectric actuator using adaptive model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863037/
https://www.ncbi.nlm.nih.gov/pubmed/27226952
http://dx.doi.org/10.1186/s40638-016-0039-x
work_keys_str_mv AT minhtranvu trackingcontrolofpiezoelectricactuatorusingadaptivemodel
AT linhnguyenmanh trackingcontrolofpiezoelectricactuatorusingadaptivemodel
AT chenxinkai trackingcontrolofpiezoelectricactuatorusingadaptivemodel

Ejemplares similares