Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case

Autores
García Violini, Diego Demián; Evangelista, Carolina Alejandra; Peña Sanchez, Yerai; Puleston, Pablo Federico
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Tuning controllers for nonlinear systems remains a significant challenge due to their inherent complexity and the lack of systematic design methodologies. This study presents a practical, versatile, and robust optimisation-based procedure for tuning nonlinear controllers, including linear ones, offering a structured alternative to the traditional trial-and-error tuning strategies commonly used in practice. A key contribution of the proposed methodology is the explicit definition and achievement of target closed-loop dynamic behaviours in nonlinear systems, which is analogous to classical dynamics in linear control. By leveraging global optimisation techniques, the procedure systematically identifies controller parameters that minimise deviations from predefined dynamic targets while ensuring robustness and stability across a range of operating conditions. The approach addresses the nonlinear response of the controlled system and provides an intuitive and customisable framework for shaping closed-loop dynamics according to design objectives. The methodology is validated through its application to a wind turbine control problem, demonstrating its ability to tune both proportional–integral (PI) and super-twisting sliding mode controllers (SMC) effectively. The results highlight the sensitivity of nonlinear controllers to parameter selection and underscore the benefits of a systematic tuning approach in achieving consistent performance, preventing actuator saturation, and ensuring system longevity. This study offers a powerful and generalisable solution for tuning controllers in complex nonlinear systems, enabling practitioners to move beyond empirical tuning practice.
Fil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Evangelista, Carolina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Peña Sanchez, Yerai. Mondragon University; España
Fil: Puleston, Pablo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Materia
Optimisation-based tuning
Nonlinear control
Wind energy systems
Closed-loop dynamics
Sliding mode control
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/273384
Acceder
id CONICETDig_8848b347e733aed892bf9baa8f0ee30d
oai_identifier_str oai:ri.conicet.gov.ar:11336/273384
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy caseGarcía Violini, Diego DemiánEvangelista, Carolina AlejandraPeña Sanchez, YeraiPuleston, Pablo FedericoOptimisation-based tuningNonlinear controlWind energy systemsClosed-loop dynamicsSliding mode controlhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Tuning controllers for nonlinear systems remains a significant challenge due to their inherent complexity and the lack of systematic design methodologies. This study presents a practical, versatile, and robust optimisation-based procedure for tuning nonlinear controllers, including linear ones, offering a structured alternative to the traditional trial-and-error tuning strategies commonly used in practice. A key contribution of the proposed methodology is the explicit definition and achievement of target closed-loop dynamic behaviours in nonlinear systems, which is analogous to classical dynamics in linear control. By leveraging global optimisation techniques, the procedure systematically identifies controller parameters that minimise deviations from predefined dynamic targets while ensuring robustness and stability across a range of operating conditions. The approach addresses the nonlinear response of the controlled system and provides an intuitive and customisable framework for shaping closed-loop dynamics according to design objectives. The methodology is validated through its application to a wind turbine control problem, demonstrating its ability to tune both proportional–integral (PI) and super-twisting sliding mode controllers (SMC) effectively. The results highlight the sensitivity of nonlinear controllers to parameter selection and underscore the benefits of a systematic tuning approach in achieving consistent performance, preventing actuator saturation, and ensuring system longevity. This study offers a powerful and generalisable solution for tuning controllers in complex nonlinear systems, enabling practitioners to move beyond empirical tuning practice.Fil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Evangelista, Carolina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Peña Sanchez, Yerai. Mondragon University; EspañaFil: Puleston, Pablo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaPergamon-Elsevier Science Ltd2025-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/273384García Violini, Diego Demián; Evangelista, Carolina Alejandra; Peña Sanchez, Yerai; Puleston, Pablo Federico; Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 165; 12-2025; 1-160967-0661CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0967066125003478info:eu-repo/semantics/altIdentifier/doi/10.1016/j.conengprac.2025.106585info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:28:32Zoai:ri.conicet.gov.ar:11336/273384instacron: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:34982025-10-22 11:28:33.139CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case
title Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case
spellingShingle Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case
García Violini, Diego Demián
Optimisation-based tuning
Nonlinear control
Wind energy systems
Closed-loop dynamics
Sliding mode control
title_short Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case
title_full Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case
title_fullStr Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case
title_full_unstemmed Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case
title_sort Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case
dc.creator.none.fl_str_mv García Violini, Diego Demián
Evangelista, Carolina Alejandra
Peña Sanchez, Yerai
Puleston, Pablo Federico
author García Violini, Diego Demián
author_facet García Violini, Diego Demián
Evangelista, Carolina Alejandra
Peña Sanchez, Yerai
Puleston, Pablo Federico
author_role author
author2 Evangelista, Carolina Alejandra
Peña Sanchez, Yerai
Puleston, Pablo Federico
author2_role author
author
author
dc.subject.none.fl_str_mv Optimisation-based tuning
Nonlinear control
Wind energy systems
Closed-loop dynamics
Sliding mode control
topic Optimisation-based tuning
Nonlinear control
Wind energy systems
Closed-loop dynamics
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 Tuning controllers for nonlinear systems remains a significant challenge due to their inherent complexity and the lack of systematic design methodologies. This study presents a practical, versatile, and robust optimisation-based procedure for tuning nonlinear controllers, including linear ones, offering a structured alternative to the traditional trial-and-error tuning strategies commonly used in practice. A key contribution of the proposed methodology is the explicit definition and achievement of target closed-loop dynamic behaviours in nonlinear systems, which is analogous to classical dynamics in linear control. By leveraging global optimisation techniques, the procedure systematically identifies controller parameters that minimise deviations from predefined dynamic targets while ensuring robustness and stability across a range of operating conditions. The approach addresses the nonlinear response of the controlled system and provides an intuitive and customisable framework for shaping closed-loop dynamics according to design objectives. The methodology is validated through its application to a wind turbine control problem, demonstrating its ability to tune both proportional–integral (PI) and super-twisting sliding mode controllers (SMC) effectively. The results highlight the sensitivity of nonlinear controllers to parameter selection and underscore the benefits of a systematic tuning approach in achieving consistent performance, preventing actuator saturation, and ensuring system longevity. This study offers a powerful and generalisable solution for tuning controllers in complex nonlinear systems, enabling practitioners to move beyond empirical tuning practice.
Fil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Evangelista, Carolina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Peña Sanchez, Yerai. Mondragon University; España
Fil: Puleston, Pablo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
description Tuning controllers for nonlinear systems remains a significant challenge due to their inherent complexity and the lack of systematic design methodologies. This study presents a practical, versatile, and robust optimisation-based procedure for tuning nonlinear controllers, including linear ones, offering a structured alternative to the traditional trial-and-error tuning strategies commonly used in practice. A key contribution of the proposed methodology is the explicit definition and achievement of target closed-loop dynamic behaviours in nonlinear systems, which is analogous to classical dynamics in linear control. By leveraging global optimisation techniques, the procedure systematically identifies controller parameters that minimise deviations from predefined dynamic targets while ensuring robustness and stability across a range of operating conditions. The approach addresses the nonlinear response of the controlled system and provides an intuitive and customisable framework for shaping closed-loop dynamics according to design objectives. The methodology is validated through its application to a wind turbine control problem, demonstrating its ability to tune both proportional–integral (PI) and super-twisting sliding mode controllers (SMC) effectively. The results highlight the sensitivity of nonlinear controllers to parameter selection and underscore the benefits of a systematic tuning approach in achieving consistent performance, preventing actuator saturation, and ensuring system longevity. This study offers a powerful and generalisable solution for tuning controllers in complex nonlinear systems, enabling practitioners to move beyond empirical tuning practice.
publishDate 2025
dc.date.none.fl_str_mv 2025-12
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/11336/273384
García Violini, Diego Demián; Evangelista, Carolina Alejandra; Peña Sanchez, Yerai; Puleston, Pablo Federico; Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 165; 12-2025; 1-16
0967-0661
CONICET Digital
CONICET
url http://hdl.handle.net/11336/273384
identifier_str_mv García Violini, Diego Demián; Evangelista, Carolina Alejandra; Peña Sanchez, Yerai; Puleston, Pablo Federico; Optimisation-based tuning of nonlinear controllers for targeted dynamics: Methodology and a demonstrative wind energy case; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 165; 12-2025; 1-16
0967-0661
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0967066125003478
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.conengprac.2025.106585
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection 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
_version_ 1846781864451244032
score 12.982451

Publicaciones similares