Session: MESA-01-01 Artificial Intelligence and Emerging Technologies for Mechatronics and Embedded Systems
Paper Number: 68558
Start Time: August 17, 11:10 AM
68558 - Digital Twin Technology for Modeling, Simulation and Control of a Mechatronic System
Digital transformation involves the use of breaking technologies that increase the knowledge of a physical system. One
of these technologies is the Digital Twin, which is a realistic virtual representation that reflect the current conditions of a physical system process that allows advanced and more detailed analysis towards improve system performance and smartness. This paper uses a novel framework for developing Digital Twin applications, which is applied to the velocity and position control problem. The framework involves the steps of target system definition, system documentation, multidomain simulation, Digital Twin assembly and behavioral matching and validation and deployment. Obtained results show how Digital Twin enable new capabilities that can be explored towards smart control engineering.
Digital transformation involves the use of breaking technologies that increase the knowledge of a physical system. One
of these technologies is the Digital Twin, which is a realistic virtual representation that reflect the current conditions of a physical system process that allows advanced and more detailed analysis towards improve system performance and smartness. This paper uses a novel framework for developing Digital Twin applications, which is applied to the velocity and position control problem. The framework involves the steps of target system definition, system documentation, multidomain simulation, Digital Twin assembly and behavioral matching and validation and deployment. Obtained results show how Digital Twin enable new capabilities that can be explored towards smart control engineering.
Presenting Author: Jairo Viola MESA Lab at UC Merced
Authors:
Mauricio Rafael Calderon Carrion Universita degli Studi di BresciaJairo Viola University of California
YangQuan Chen University of California
Antonio Visioli Universita degli Studi di Brescia
Digital Twin Technology for Modeling, Simulation and Control of a Mechatronic System
Paper Type
Technical Paper Publication