A VNS algorithm for PID controller : hardware-in-the-loop approach.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilva, Guilherme Augusto Lopes-
Autor(es): dc.creatorSilva, Pedro Henrique Lopes-
Autor(es): dc.creatorSantos, Valéria-
Autor(es): dc.creatorRêgo Segundo, Alan Kardek-
Autor(es): dc.creatorLuz, Eduardo José da Silva-
Autor(es): dc.creatorMoreira, Gladston Juliano Prates-
Data de aceite: dc.date.accessioned2025-08-21T15:03:54Z-
Data de disponibilização: dc.date.available2025-08-21T15:03:54Z-
Data de envio: dc.date.issued2022-01-20-
Data de envio: dc.date.issued2022-01-20-
Data de envio: dc.date.issued2020-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/jspui/handle/123456789/14369-
Fonte completa do material: dc.identifierhttps://latamt.ieeer9.org/index.php/transactions/article/view/4831-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1001796-
Descrição: dc.descriptionTuning the Proportional Integral Derivative, or PID, controller in cyber-physical systems is a major challenge as it requires advanced mathematical skills. Several authors in the literature have shown that optimization algorithms are efficient for auto-adjust PID controller constants, especially when there is no mathematical modeling. However, the literature lacks works that show the efficiency of the Variable Neighborhood Search (VNS) algorithm to auto-adjust the PID. In this work, we investigate the efficiency of the Variable Neighborhood Algorithm to fine-tune a PID controller of a real cyber physical-system: a birotor flying drone. The approach consists of applying a numerical neighborhood structure to optimize the three constants of the PID, according to a proposed fitness function. Experiments reveal the feasibility of fine-tuning the PID controller and the birotor balancing with the Variable Neighborhood Algorithm with reduced time. We compared the VNS-approach against one based on genetic algorithms, and on average, the VNS-approach achieves better results with lower computational and memory costs. Results suggest that the approach may be used in real or commercial systems, helping to fine-tune the controller to new environment changes or even last-minute project modifications.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languagept_BR-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectVariable neighborhood search - VNS-
Palavras-chave: dc.subjectCyber-physical systems-
Palavras-chave: dc.subjectProportional integral derivative-
Palavras-chave: dc.subjectSelf-tuning-
Palavras-chave: dc.subjectHardware-in-the-loop-
Título: dc.titleA VNS algorithm for PID controller : hardware-in-the-loop approach.-
Aparece nas coleções:Repositório Institucional - UFOP

Não existem arquivos associados a este item.