Sim3tanks: a benchmark model simulator for process control and monitoring

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dc.creatorArllem Farias
dc.creatorGabriel Alisson Costa Queiroz
dc.creatorIury Valente de Bessa
dc.creatorRenan Landau Paiva-de Medeiros
dc.creatorLucas Carvalho Cordeiro
dc.creatorReinaldo Martinez Palhares
dc.date.accessioned2025-04-22T14:06:39Z
dc.date.accessioned2025-09-08T23:29:03Z
dc.date.available2025-04-22T14:06:39Z
dc.date.issued2018
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2018.2874752
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/1843/81730
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofIEEE Access
dc.rightsAcesso Aberto
dc.subjectControle automático
dc.subject.otherVirtual laboratory
dc.subject.otherThree-tank system
dc.subject.otherFault detection and isolation
dc.subject.otherFault tolerant control
dc.subject.otherProcess control , Valves , Monitoring , Benchmark testing , Actuators , Fault tolerant control , Mathematical model
dc.subject.otherProcess Monitoring , Control Strategy , Bayesian Model , Graphical User Interface , Fault-tolerant , Fault-tolerant Control , Kinds Of Defects , Unscented Kalman Filter , Fault Isolation , Generalized Likelihood Ratio , Virtual Sensors , Fault Detection And Isolation , Fault Detection Algorithm , Control System , Control Signal , Flow Meter , Flow Control , Control Techniques , Residual Signal , Actuator Faults , Sensor Faults , Tank Level , Fault Occurrence , Closed-loop Response , Free Variables , Fault Signal , Fault Diagnosis , Monitoring Techniques , Residual Generator
dc.subject.otherFault detection and isolation
dc.subject.otherFault tolerant control
dc.titleSim3tanks: a benchmark model simulator for process control and monitoring
dc.typeArtigo de periódico
local.citation.epage62254
local.citation.issue1
local.citation.spage62234
local.citation.volume6
local.description.resumoThis paper describes a simulator for the three-tank system process named Sim3Tanks. This process presents a hybrid and nonlinear behavior and it is subject to different kinds of perturbations, faults, and noises. Sim3Tanks was developed in the MATLAB/Simulink environment and can be used via graphical user interface, Simulink block diagram, and command-line. Sim3Tanks is suitable for studying and developing process control, fault detection and isolation, and fault tolerant control strategies for nonlinear multi-variable systems. In order to illustrate the potential of Sim3Tanks, four scenarios are discussed throughout this paper: PID control strategies for the level and flow rates; a fault detection algorithm based on unscented Kalman filter and generalized likelihood ratio; a fault isolation system based on Bayesian networks; and a control reconfiguration based on static virtual actuator and sensor.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://ieeexplore.ieee.org/document/8485681

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