Trajectory tracking nonlinear hybrid control of automated guided vehicles
Automated guided vehicles (AGVs), so necessary in industrial environments, require precise control of trajectory tracking tomake accurate stops at logistics stations, such as loading stations, or to pick up or drop of trolleys, pallets, or racks. Tis paperproposes a hybrid control architecture for t...
| Autores: | , , , |
|---|---|
| Tipo de documento: | artigo |
| Data de publicação: | 2024 |
| País: | España |
| Recursos: | Universidad Complutense de Madrid (UCM) |
| Repositório: | Docta Complutense |
| Idioma: | inglês |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/108132 |
| Acesso em linha: | https://hdl.handle.net/20.500.14352/108132 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Robótica 3311.02 Ingeniería de Control |
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Trajectory tracking nonlinear hybrid control of automated guided vehiclesSánchez-Rodríguez, AntonioBayona, EduardoSierra García, Jesús EnriqueSantos Peñas, MatildeRobótica3311.02 Ingeniería de ControlAutomated guided vehicles (AGVs), so necessary in industrial environments, require precise control of trajectory tracking tomake accurate stops at logistics stations, such as loading stations, or to pick up or drop of trolleys, pallets, or racks. Tis paperproposes a hybrid control architecture for trajectory tracking of a hybrid tricycle-diferential AGV. Te control strategy combinesconventional proportional integral derivative (PID) control with advanced nonlinear Lyapunov control (LPC). Te LPC is usedfor trajectory tracking while the PID is used for speed control of the robot. Te stability of the controller is demonstrated for anydiferentiable trajectory. When a PID optimized with genetic algorithms is compared with the proposed controller for severaltrajectories, the LPC outperforms it in all cases.WileyUniversidad Complutense de Madrid20242024-01-0120242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/108132reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1081322026-06-02T12:44:21Z |
| dc.title.none.fl_str_mv |
Trajectory tracking nonlinear hybrid control of automated guided vehicles |
| title |
Trajectory tracking nonlinear hybrid control of automated guided vehicles |
| spellingShingle |
Trajectory tracking nonlinear hybrid control of automated guided vehicles Sánchez-Rodríguez, Antonio Robótica 3311.02 Ingeniería de Control |
| title_short |
Trajectory tracking nonlinear hybrid control of automated guided vehicles |
| title_full |
Trajectory tracking nonlinear hybrid control of automated guided vehicles |
| title_fullStr |
Trajectory tracking nonlinear hybrid control of automated guided vehicles |
| title_full_unstemmed |
Trajectory tracking nonlinear hybrid control of automated guided vehicles |
| title_sort |
Trajectory tracking nonlinear hybrid control of automated guided vehicles |
| dc.creator.none.fl_str_mv |
Sánchez-Rodríguez, Antonio Bayona, Eduardo Sierra García, Jesús Enrique Santos Peñas, Matilde |
| author |
Sánchez-Rodríguez, Antonio |
| author_facet |
Sánchez-Rodríguez, Antonio Bayona, Eduardo Sierra García, Jesús Enrique Santos Peñas, Matilde |
| author_role |
author |
| author2 |
Bayona, Eduardo Sierra García, Jesús Enrique Santos Peñas, Matilde |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Universidad Complutense de Madrid |
| dc.subject.none.fl_str_mv |
Robótica 3311.02 Ingeniería de Control |
| topic |
Robótica 3311.02 Ingeniería de Control |
| description |
Automated guided vehicles (AGVs), so necessary in industrial environments, require precise control of trajectory tracking tomake accurate stops at logistics stations, such as loading stations, or to pick up or drop of trolleys, pallets, or racks. Tis paperproposes a hybrid control architecture for trajectory tracking of a hybrid tricycle-diferential AGV. Te control strategy combinesconventional proportional integral derivative (PID) control with advanced nonlinear Lyapunov control (LPC). Te LPC is usedfor trajectory tracking while the PID is used for speed control of the robot. Te stability of the controller is demonstrated for anydiferentiable trajectory. When a PID optimized with genetic algorithms is compared with the proposed controller for severaltrajectories, the LPC outperforms it in all cases. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024-01-01 2024 2024-01-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/20.500.14352/108132 |
| url |
https://hdl.handle.net/20.500.14352/108132 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Wiley |
| publisher.none.fl_str_mv |
Wiley |
| dc.source.none.fl_str_mv |
reponame:Docta Complutense instname:Universidad Complutense de Madrid (UCM) |
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Universidad Complutense de Madrid (UCM) |
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Docta Complutense |
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Docta Complutense |
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1869412768891797504 |
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15,81155 |