Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm
- Autores
- Rossomando, Francisco Guido; Soria, Carlos Miguel
- Año de publicación
- 2016
- Idioma
- español castellano
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work presents a neuro-adaptive control method in sliding mode control designed in discrete time for SCARA robot arm. The proposed control structure is based on neuro-adaptive sliding mode control to adjust dynamics variations of the SCARA robot. The sliding control is included to ensure that the discrete-time neural control can improve the stable closed loop system to be immune to the parameters variations. The proposed technique simultaneously ensures the stability of the adaptation of neural networks and can obtain adequate control when the robots parameters are inexactly or unknown. This adaptive neural system was applied on a SCARA type robot arm where the trajectory tracking error converges to zero. Finally, experiments have been developed on SCARA robot arm to demonstrate the efficiency of the proposed technique, including comparison with a classical controller.
Fil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Soria, Carlos Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina - Materia
-
Adaptive Control
Mimo System
Neural Networks
Sliding Mode Control - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/61202
Ver los metadatos del registro completo
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Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot armRossomando, Francisco GuidoSoria, Carlos MiguelAdaptive ControlMimo SystemNeural NetworksSliding Mode Controlhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This work presents a neuro-adaptive control method in sliding mode control designed in discrete time for SCARA robot arm. The proposed control structure is based on neuro-adaptive sliding mode control to adjust dynamics variations of the SCARA robot. The sliding control is included to ensure that the discrete-time neural control can improve the stable closed loop system to be immune to the parameters variations. The proposed technique simultaneously ensures the stability of the adaptation of neural networks and can obtain adequate control when the robots parameters are inexactly or unknown. This adaptive neural system was applied on a SCARA type robot arm where the trajectory tracking error converges to zero. Finally, experiments have been developed on SCARA robot arm to demonstrate the efficiency of the proposed technique, including comparison with a classical controller.Fil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Soria, Carlos Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaInstitute of Electrical and Electronics Engineers2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/61202Rossomando, Francisco Guido; Soria, Carlos Miguel; Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2556-25641548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7555218info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2016.7555218info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:32:58Zoai:ri.conicet.gov.ar:11336/61202instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:32:58.676CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm |
title |
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm |
spellingShingle |
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm Rossomando, Francisco Guido Adaptive Control Mimo System Neural Networks Sliding Mode Control |
title_short |
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm |
title_full |
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm |
title_fullStr |
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm |
title_full_unstemmed |
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm |
title_sort |
Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm |
dc.creator.none.fl_str_mv |
Rossomando, Francisco Guido Soria, Carlos Miguel |
author |
Rossomando, Francisco Guido |
author_facet |
Rossomando, Francisco Guido Soria, Carlos Miguel |
author_role |
author |
author2 |
Soria, Carlos Miguel |
author2_role |
author |
dc.subject.none.fl_str_mv |
Adaptive Control Mimo System Neural Networks Sliding Mode Control |
topic |
Adaptive Control Mimo System Neural Networks Sliding Mode Control |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
This work presents a neuro-adaptive control method in sliding mode control designed in discrete time for SCARA robot arm. The proposed control structure is based on neuro-adaptive sliding mode control to adjust dynamics variations of the SCARA robot. The sliding control is included to ensure that the discrete-time neural control can improve the stable closed loop system to be immune to the parameters variations. The proposed technique simultaneously ensures the stability of the adaptation of neural networks and can obtain adequate control when the robots parameters are inexactly or unknown. This adaptive neural system was applied on a SCARA type robot arm where the trajectory tracking error converges to zero. Finally, experiments have been developed on SCARA robot arm to demonstrate the efficiency of the proposed technique, including comparison with a classical controller. Fil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina Fil: Soria, Carlos Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina |
description |
This work presents a neuro-adaptive control method in sliding mode control designed in discrete time for SCARA robot arm. The proposed control structure is based on neuro-adaptive sliding mode control to adjust dynamics variations of the SCARA robot. The sliding control is included to ensure that the discrete-time neural control can improve the stable closed loop system to be immune to the parameters variations. The proposed technique simultaneously ensures the stability of the adaptation of neural networks and can obtain adequate control when the robots parameters are inexactly or unknown. This adaptive neural system was applied on a SCARA type robot arm where the trajectory tracking error converges to zero. Finally, experiments have been developed on SCARA robot arm to demonstrate the efficiency of the proposed technique, including comparison with a classical controller. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/61202 Rossomando, Francisco Guido; Soria, Carlos Miguel; Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2556-2564 1548-0992 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/61202 |
identifier_str_mv |
Rossomando, Francisco Guido; Soria, Carlos Miguel; Adaptive Neural Sliding Mode Control in Discrete Time for a SCARA robot arm; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2556-2564 1548-0992 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7555218 info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2016.7555218 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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