Model guided extremum seeking control of electromagnetic micromirrors

Abstract In this paper, a simplified dynamic model is constructed to describe the main characteristic of electromagnetic micro-mirror. Then, based on the information provided by the derived simplified model, a model-guided extremum seeking control (MGESC) scheme with backtracking line search is deve...

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Autores principales:	Wanyan Sun, Yonghong Tan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/aa80b2470c7b4405900330f2c027d73d
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spelling	oai:doaj.org-article:aa80b2470c7b4405900330f2c027d73d2021-12-02T19:04:11ZModel guided extremum seeking control of electromagnetic micromirrors10.1038/s41598-021-97098-62045-2322https://doaj.org/article/aa80b2470c7b4405900330f2c027d73d2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97098-6https://doaj.org/toc/2045-2322Abstract In this paper, a simplified dynamic model is constructed to describe the main characteristic of electromagnetic micro-mirror. Then, based on the information provided by the derived simplified model, a model-guided extremum seeking control (MGESC) scheme with backtracking line search is developed, which can automatically estimate the best value of step-size at each search iteration to improve the performance of the control system for target tracking. Then, the convergence of the proposed MGES algorithm is proved. Finally, the experimental results and the simulations are presented to verify the proposed method.Wanyan SunYonghong TanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wanyan Sun Yonghong Tan Model guided extremum seeking control of electromagnetic micromirrors
description	Abstract In this paper, a simplified dynamic model is constructed to describe the main characteristic of electromagnetic micro-mirror. Then, based on the information provided by the derived simplified model, a model-guided extremum seeking control (MGESC) scheme with backtracking line search is developed, which can automatically estimate the best value of step-size at each search iteration to improve the performance of the control system for target tracking. Then, the convergence of the proposed MGES algorithm is proved. Finally, the experimental results and the simulations are presented to verify the proposed method.
format	article
author	Wanyan Sun Yonghong Tan
author_facet	Wanyan Sun Yonghong Tan
author_sort	Wanyan Sun
title	Model guided extremum seeking control of electromagnetic micromirrors
title_short	Model guided extremum seeking control of electromagnetic micromirrors
title_full	Model guided extremum seeking control of electromagnetic micromirrors
title_fullStr	Model guided extremum seeking control of electromagnetic micromirrors
title_full_unstemmed	Model guided extremum seeking control of electromagnetic micromirrors
title_sort	model guided extremum seeking control of electromagnetic micromirrors
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/aa80b2470c7b4405900330f2c027d73d
work_keys_str_mv	AT wanyansun modelguidedextremumseekingcontrolofelectromagneticmicromirrors AT yonghongtan modelguidedextremumseekingcontrolofelectromagneticmicromirrors
_version_	1718377228917538816

Model guided extremum seeking control of electromagnetic micromirrors

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