Year: 2025
Type: conference-paper
Abstract: A digital twin is a real-time, dynamic digital representation of a physical system, enabling continuous monitoring, simulation, and analysis.It plays a crucial role in optimizing system performance, predictive maintenance, and decision-making across various engineering domains.Simulink, a MATLABbased software environment, is widely utilized for modelling and simulating complex dynamical systems through block diagrams.This paper aims to explore the development process of digital twins within Simulink, highlighting its capabilities for system-level design and validation.Simulink provides engineers and researchers with powerful tools to create, simulate, and optimize digital twins of physical systems.By integrating real-time data, these models enable accurate performance evaluation, fault detection, and predictive analytics, making them essential for industries such as aerospace, automotive, robotics, civil engineering, and manufacturing.The study outlines key methodologies for developing digital twins in Simulink, emphasizing their role in enhancing system reliability, improving operational efficiency, and accelerating innovation.Additionally, it discusses Simulink's features, such as its multi-domain modelling capabilities, simulation accuracy in real time, and integration with real-world data sources, which contribute to the improvement of digital twin technology.It is demonstrated that Simulinkbased digital twins facilitate engineering decision-making, streamline system optimization, and drive technological advancements in industrial applications.
Authors: Dragan Kreculj, Đorđe Dihovični, Nada Ratković Kovačević, Aleksandra Mitrović, Maja Gaborov
Institutions: University of Novi Sad, Univerzitet Union Nikola Tesla
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411257523