A new air-fuel ratio model fixing the transport delay: validation and control

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dc.creatorThomas Laurain
dc.creatorZsofia Lendek
dc.creatorJimmy Lauber
dc.creatorReinaldo Martinez Palhares
dc.date.accessioned2025-03-28T16:29:48Z
dc.date.accessioned2025-09-09T00:54:49Z
dc.date.available2025-03-28T16:29:48Z
dc.date.issued2017
dc.identifier.doi10.1109/CCTA.2017.8062734
dc.identifier.urihttps://hdl.handle.net/1843/81076
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofConference on Control Technology and Applications (CCTA)
dc.rightsAcesso Restrito
dc.subjectEngenharia Mecânica
dc.subjectLiapunov, Funções de
dc.subjectSistemas não lineares
dc.subject.otherControle
dc.subject.otherControle de Processos
dc.subject.otherSistemas com Retardo no Tempo
dc.subject.othersistemas não lineares
dc.subject.otherAplicações Automotivas
dc.subject.otherDelays , Engines , Atmospheric modeling , Fuels , Biological system modeling , Adaptation models , Mathematical model
dc.subject.otherAir-Fuel Ratio , Variable transport delay , crank-angle domain , Takagi-Sugeno representation , Lyapunov-based control design
dc.subject.otherTransport Delay , Air-fuel Ratio , Linear Control , Test Bench , Time-varying Delays , Cylindrical , Sampling Period , Water Temperature , Control Design , Control Input , Angular Velocity , Injection Time , Membership Function , Oxygen Sensor , Variable Delay , Amount Of Air , Engine Speed , Stoichiometric Proportions , Air Mass Flow
dc.titleA new air-fuel ratio model fixing the transport delay: validation and control
dc.typeArtigo de evento
local.citation.epage1909
local.citation.spage1904
local.description.resumoAir-fuel ratio control is a crucial problem for engine control since it is one of the most important issues related to pollution reduction. The main difficulty in air-fuel ratio control is the time-varying delay. We propose a new model that includes the delay. This model is identified using real dataset from an engine test bench. The time-varying delay is made constant by using a change of domain. The nonlinearities of the model are handled with the Takagi-Sugeno representation and a linear controller is designed using the Lyapunov direct method. Simulation results highlight the efficiency of the proposed approach compared to classic maps-based controllers.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://ieeexplore.ieee.org/document/8062734

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