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Iso-damping fractional-order control for robust automated car-following

This work deals with the control design and development of an automated car-following strategy that further increases robustness to vehicle dynamics uncertainties. The control algorithm is applied on a hierarchical architecture where high and low level control layers are designed for gap-control and...

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Autores principales: Flores, Carlos, Muñoz, Jorge, Monje, Concepción A., Milanés, Vicente, Lu, Xiao-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474189/
https://www.ncbi.nlm.nih.gov/pubmed/32922985
http://dx.doi.org/10.1016/j.jare.2020.05.013
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author Flores, Carlos
Muñoz, Jorge
Monje, Concepción A.
Milanés, Vicente
Lu, Xiao-Yun
author_facet Flores, Carlos
Muñoz, Jorge
Monje, Concepción A.
Milanés, Vicente
Lu, Xiao-Yun
author_sort Flores, Carlos
collection PubMed
description This work deals with the control design and development of an automated car-following strategy that further increases robustness to vehicle dynamics uncertainties. The control algorithm is applied on a hierarchical architecture where high and low level control layers are designed for gap-control and desired acceleration tracking, respectively. A fractional-order controller is proposed due to its flexible frequency shape, fulfilling more demanding design requirements. The iso-damping loop property is sought, which yields a desired closed-loop stability that results invariant despite changes on the controlled plant gain. In addition, the graphical nature of the proposed design approach demonstrates its portability and applicability to any type of vehicle dynamics without complex reconfiguration. The algorithm benefits are validated in frequency and time domains, as well as through experiments on a real vehicle platform performing adaptive cruise control.
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spelling pubmed-74741892020-09-11 Iso-damping fractional-order control for robust automated car-following Flores, Carlos Muñoz, Jorge Monje, Concepción A. Milanés, Vicente Lu, Xiao-Yun J Adv Res Article This work deals with the control design and development of an automated car-following strategy that further increases robustness to vehicle dynamics uncertainties. The control algorithm is applied on a hierarchical architecture where high and low level control layers are designed for gap-control and desired acceleration tracking, respectively. A fractional-order controller is proposed due to its flexible frequency shape, fulfilling more demanding design requirements. The iso-damping loop property is sought, which yields a desired closed-loop stability that results invariant despite changes on the controlled plant gain. In addition, the graphical nature of the proposed design approach demonstrates its portability and applicability to any type of vehicle dynamics without complex reconfiguration. The algorithm benefits are validated in frequency and time domains, as well as through experiments on a real vehicle platform performing adaptive cruise control. Elsevier 2020-06-17 /pmc/articles/PMC7474189/ /pubmed/32922985 http://dx.doi.org/10.1016/j.jare.2020.05.013 Text en © 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Flores, Carlos
Muñoz, Jorge
Monje, Concepción A.
Milanés, Vicente
Lu, Xiao-Yun
Iso-damping fractional-order control for robust automated car-following
title Iso-damping fractional-order control for robust automated car-following
title_full Iso-damping fractional-order control for robust automated car-following
title_fullStr Iso-damping fractional-order control for robust automated car-following
title_full_unstemmed Iso-damping fractional-order control for robust automated car-following
title_short Iso-damping fractional-order control for robust automated car-following
title_sort iso-damping fractional-order control for robust automated car-following
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474189/
https://www.ncbi.nlm.nih.gov/pubmed/32922985
http://dx.doi.org/10.1016/j.jare.2020.05.013
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