Abstract

Full Text

One of the main tasks for which DigitalTwins (DTs) are designed is industrial equipment virtual adjustment. Using DTs for set-up and start-up is relevant for commissioning and retrofitting of rolling mill electrical systems. A promising direction for solving such problems is the creation of object-oriented DTs based on Simulink Real Time software using hardware simulation in the loop resource (Hardware-in-the-loopsimulation, HIL). The software supports real-time simulation and testing thus reducing commissioning costs and startup time. The approach is considered according to which the virtual model development of the investigated device is carried out including the control system algorithms. This model is placed on a real-time computer while the control signal formation is provided by means of the industrial logic controller (PLC), which controls the object. The research was carried out using Plate Mill 5000 stand electric drives as an example, which is caused by their reconstruction with frequency converter replacement and change in control algorithms. The implementation of object-oriented DT in MatlabSimulink Desktop Real Time in laboratory conditions was performed at the stage of start-up work. The transients of the electric drive main coordinates during the rolling cycle were compared. As a result, the satisfactory reproduction accuracy by means of the digital twin was confirmed. The oscillograms obtained at the mill show that it is necessary to take into account the lags caused by the interface between the PLC and the industrial computer. The advantages of HIL modeling over physical and virtual processe validation were noted. Thus, the feasibility of implementing the object-oriented DTs concept based on Simulink Real Time at the stages of industrial facilities virtual commissioning and retrofitting has been confirmed.

Keywords

rolling mill, electromechanical system, virtual adjustment, HIL modeling, Simulink Real Time, transients, validation, advantages, recommendations

Boris M. Loginov Ph.D. (Engineering), Associate Professor, Department of Industrial Power Supply, Nosov Magnitogorsk State Technical University, Magnitogorsk; Senior Research Scientist, Automation and Control Department, Moscow Polytech, Moscow, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0003-3337-3148

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