Digital Twin for Legacy Systems: Simulation Model Testing and Validation
Paper in proceeding, 2018

In this paper, an approach to incorporate a digitaltwin for legacy production systems is presented. Hardware-in-the-loop setups are routinely used by manufacturing companiesto carry out virtual commissioning. However, manufacturingcompanies having online legacy production systems are stillstruggling to incorporate a digital twin due to the absence ofverified and validated simulation models. Companies that usevirtual commissioning as a part of their engineering tool chain,usually perform offline verification of the simulation model.This approach is typically based on visual inspection and is atedious task as each aspect of the model has to be visuallyvalidated. For legacy systems, only assessing the behaviorvisually in the absence of updated documents can result in anincorrect simulation model, i.e. simulating incorrect behaviorwith respect to the specification. Due to this, such simulationmodels cannot be incorporated in the engineering tool chain,as the simulated results can lead to improper decisions and caneven cause equipment damage. This paper presents a platformand an approach, based on model-based testing, that is a firststep for manufacturing companies to incorporate a validatedsimulation model for existing online production systems thatwill serve as a digital twin.

Model-based-testing

Virtual Commissioning

Legacy System

Digital Twin

Author

Adnan Khan

Chalmers, Electrical Engineering, Systems and control

Martin Dahl

Chalmers, Electrical Engineering, Systems and control

Petter Falkman

Chalmers, Electrical Engineering, Systems and control

Martin Fabian

Chalmers, Electrical Engineering, Systems and control

IEEE International Conference on Automation Science and Engineering

21618070 (ISSN) 21618089 (eISSN)

Vol. 2018-August 421-426 8560338
978-153863593-3 (ISBN)

14th IEEE International Conference on Automation Science and Engineering, 2018
Munich, Germany,

Engineering Tool Chain for Efficient and Iterative Development of Smart Factories (ENTOC)

VINNOVA (2016-02716), 2016-09-01 -- 2019-08-31.

Systematic testing of cyber-physical systems (SyTeC)

Swedish Research Council (VR) (2016-06204), 2017-01-01 -- 2022-12-31.

Areas of Advance

Production

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/COASE.2018.8560338

More information

Latest update

4/8/2019 9