Sim3tanks: a benchmark model simulator for process control and monitoring
This 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 graphica...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Brasil |
| Institución: | Universidade Federal de Minas Gerais (UFMG) |
| Repositorio: | Repositório Institucional da UFMG |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.ufmg.br:1843/81730 |
| Acceso en línea: | https://doi.org/10.1109/ACCESS.2018.2874752 http://hdl.handle.net/1843/81730 |
| Access Level: | acceso abierto |
| Palabra clave: | Virtual laboratory Three-tank system Fault detection and isolation Fault tolerant control Process control , Valves , Monitoring , Benchmark testing , Actuators , Fault tolerant control , Mathematical model Process 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 Controle automático |
| Sumario: | This 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. |
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