Sim3tanks: a benchmark model simulator for process control and monitoring
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Universidade Federal de Minas Gerais
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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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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, Fault detection and isolation, Fault tolerant control
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https://ieeexplore.ieee.org/document/8485681