Iterative learning control applied to a recently proposed mechanical ventilator topology

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dc.creatorAdler Fonseca de Castro
dc.creatorLeonardo Antônio Borges Tôrres
dc.date.accessioned2025-05-06T15:27:46Z
dc.date.accessioned2025-09-08T23:40:23Z
dc.date.available2025-05-06T15:27:46Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.1016/j.ifacol.2019.06.053
dc.identifier.urihttps://hdl.handle.net/1843/82064
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartof12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS)
dc.rightsAcesso Restrito
dc.subjectTeoria do controle
dc.subject.otherIterative learning control, Mechanical ventilation, Biosystems, Process control, Repetitive control, Feedback linearization
dc.titleIterative learning control applied to a recently proposed mechanical ventilator topology
dc.typeArtigo de evento
local.citation.epage1
local.description.resumoMechanical ventilators are machines used to assist breathing and are widely used in research involving respiratory diseases. However, most of the commercial options available for small animals are limited when tracking ventilatory profiles such as desired air pressure or flow. Iterative learning control (ILC) is a control technique that aims to improve performance of systems with repetitive tasks by learning on previous executions. This study investigates the performance of an ILC algorithm applied on the problem of tracking pressure profiles associated with a commonly used ventilatory mode. We feedback linearize the ventilator system dynamics and design a PI controller and a simple ILC algorithm that satisfies convergence, stability and final error properties. We also consider a hypothetical periodic disturbance representing a possible leakage. We show that ILC alone is not suitable to replace a conventional feedback controller. Nevertheless, ILC combined with feedback control can significantly improve performance.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S2405896319301387

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