Model-free adaptive filter to mitigate actuator wear

Fortaleza, Eugênio Libório Feitosa; Gomes, Lucas M.; Limaverde Filho, José Oniram de A.; Campos, Mário C. M. M. de; Longhi, Luis Gustavo S.; Lima, Marcelo Lopes de; Tognetti, Eduardo Stockler

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Campo DC	Valor	Idioma
dc.contributor.author	Fortaleza, Eugênio Libório Feitosa	-
dc.contributor.author	Gomes, Lucas M.	-
dc.contributor.author	Limaverde Filho, José Oniram de A.	-
dc.contributor.author	Campos, Mário C. M. M. de	-
dc.contributor.author	Longhi, Luis Gustavo S.	-
dc.contributor.author	Lima, Marcelo Lopes de	-
dc.contributor.author	Tognetti, Eduardo Stockler	-
dc.date.accessioned	2022-05-30T13:01:23Z	-
dc.date.available	2022-05-30T13:01:23Z	-
dc.date.issued	2022-02-22	-
dc.identifier.citation	FORTALEZA, Eugênio L. F. et al. Model-free adaptive filter to mitigate actuator wear. ISA Transactions Available online, 22 fev. 2022. DOI: https://doi.org/10.1016/j.isatra.2022.02.026.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/43820	-
dc.language.iso	Inglês	pt_BR
dc.publisher	Elsevier	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	Model-free adaptive filter to mitigate actuator wear	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Filtro adaptável	pt_BR
dc.subject.keyword	Média móvel exponencial	pt_BR
dc.subject.keyword	Aplicação industrial	pt_BR
dc.subject.keyword	Controle do processo	pt_BR
dc.identifier.doi	https://doi.org/10.1016/j.isatra.2022.02.026	pt_BR
dc.relation.publisherversion	https://www.sciencedirect.com/science/article/pii/S0019057822000829?via%3Dihub	-
dc.description.abstract1	The present article introduces an adaptive filter of statistical basis developed for closed-loop control applications, whose goal is to reduce actuator wear while ensuring a similar control performance regarding the original closed-loop system. The main idea is to avoid the rapid change of the filtered signal when the system output has a derivative not statistically significant regarding the expected measurement noise. The adaptation law of the time constant of the filter is model-free, and the only required information is the variance of the additive noise that the measurements are subjected to. The performance of the proposed adaptive method is illustrated through a combined numerical and experimental study, in addition to its application in an operational oil plant. The results indicate that our formulation holds promise for extending the life of actuators and is easy to implement in most programmable logic controllers.	pt_BR
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