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Generation of the Orchestrator Code for Skill-Based Automation Systems

  • Kirill Dorofeev
  • , Tarik Terzimehi
  • , Julian Grothoff
  • , Alois Zoitl
  • , Sebastian Bergemann
  • , Michael Thies

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Engineering distributed control systems is a complex task, where the complexity and, thus, costs of the software development are growing rapidly. To keep the software complexity at an acceptable level and save time for development and subsequent maintenance, new solutions are sorely needed. In this paper, we investigate the advantages of using skills – universal control device interfaces – for generating complex logic in distributed control environments. By enriching a skill interface with the information about the dynamic behavior of a component under control, we compose the functionalities of individual control devices. The logic, required for such composition, is automatically derived from the interface description and the production plan, identifying the required skill sequence. The evaluation, executed using two industrial demonstrators, shows that the approach successfully handles different behavioral models and is capable of generating fault-tolerant orchestrators, including error handling scenarios. Overall, for developing a complex logic in a distributed skill-based automation system, the proposed approach shows significant savings in development time allowing to automate the skill composition task.
OriginalspracheEnglisch
TitelProc. of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)
ErscheinungsortNew York, USA
VerlagIEEE
Seiten1-8
Seitenumfang8
ISBN (elektronisch)9781728129891
ISBN (Print)978-1-7281-2989-1
DOIs
PublikationsstatusVeröffentlicht - Dez. 2021

Publikationsreihe

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Band2021-September
ISSN (Print)1946-0740
ISSN (elektronisch)1946-0759

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Wissenschaftszweige

  • 202017 Embedded Systems
  • 102022 Softwareentwicklung
  • 102025 Verteilte Systeme
  • 102029 Praktische Informatik
  • 202003 Automatisierungstechnik
  • 202041 Technische Informatik

JKU-Schwerpunkte

  • Digital Transformation

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