Workflow zur Einführung der Virtuellen Inbetriebnahme im  Engineering von Automatisierungssystemen – Weiterführung  der Richtlinienarbeit des GMA FA 6.11

Barth, M.; Stern, O.; Iffländer, B.; Jäkel, Julia; Schumann, R.; Schmidt-Vollus, Ronald; Oppelt, Meghan; Hoffmann, P.; Schulze, Rudolf; Richter, C.; Hoernicke, Mario; Hundt, L.

doi:10.51202/9783181022931-43

Cited by 1 publication

(4 citation statements)

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“…Commissioning is a critical part of the engineering process [7]. According to the VDI guideline 4499, VC encompasses the development-accompanying testing of individual components and sub-functions of an automation system using simulation methods and models that are tailored to the respective task [17,18].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In order to model virtual prototypes that are closer to the real machine, the authors of Yang et al propose that physical attributes such as mass, acceleration, friction, and spring force should be added to error-free models, to decrease the reality gap [22]. Barth et al mention that VC makes it possible to test major incidents such as cable breaks or sensor failures but do not provide specific solutions [17]. Süß et al test the movement performance of a robot and check interference among different mechanical structures with an accurate error-free virtual model, also without considering errors in VC [23].…”

Section: General Literature Reviewmentioning

confidence: 99%

“…Errors exist not only in hardware but also in software [17]. During the control program configuration five software errors are common, mentioned in the VDI-guideline 4499 [18]: (1) errors in logical control code, (2) process errors in the control code, (3) alarms, (4) communication errors and (5) malfunction of elements in the configuration.…”

Section: General Literature Reviewmentioning

confidence: 99%

“…The knowledge base established in the first step is changeable and extendable according to the VC application domain. Common types of errors are distinct in different industries [17]. Therefore, the database's sources should be matched with its application domain.…”

Section: Innovationmentioning

confidence: 99%

See 3 more Smart Citations

Towards narrowing the reality gap in electromechanical systems: error modeling in virtual commissioning

Kuhn

May²,

Liu

et al. 2022

Prod. Eng. Res. Devel.

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Digital factories and smart manufacturing systems have been increasingly researched and multiple concepts were developed to cope with prevailing ever-shortening life-cycles. The ubiquitous digital twin, despite many definitions, is often praised for accurate virtual models. One key idea to improve manufacturing through such virtual models is virtual commissioning (VC), aiming at early machine code validation. VC and its virtual models are still lacking behind their real counterparts. This gap between reality and its virtual model, commonly termed reality gap, increases the complexity of creating cyber-physical systems. An especially stark contrast is visible between the idealized virtual model and a real machine encountering errors. While error simulations exist in other fields of research, a thorough investigation in VC is missing. Thus, this paper addresses the task of narrowing the reality gap in VC based on two steps. First, a comprehensive body of research of possible errors encountered in virtual commissioning is analyzed. Secondly, the feasibility of error implementation is discussed. This paper lays the foundation for narrowing the reality gap and enabling test automation and digital twin-based control.

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Section: Literature Reviewmentioning

confidence: 99%