Generative AI Co-Pilot for Rapid Prototyping of IEC 61499 Control Applications

Polina Ovsiannikova*, Tatiana Liakh, Pranay Jhunjhunwala*, Valeriy Vyatkin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This work develops a concept of a natural language co-pilot for the creation of IEC 61499 applications to accelerate initial testing and development. The co-pilot addresses the challenge of generating the correct function blocks that can be opened in popular IEC 61499 IDEs. In our case study, we focus on the generation of the centralised controller that operates particular equipment to perform a defined process. In addition, we have developed a scheme for how the co-pilot will be integrated into the FBME IDE as an AI assistant in the next steps. In the discussion, we provide valuable information for future co-pilot developers on the possible problems they might face in this area and how to overcome them.

Original languageEnglish
Title of host publication2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
EditorsTullio Facchinetti, Angelo Cenedese, Lucia Lo Bello, Stefano Vitturi, Thilo Sauter, Federico Tramarin
PublisherIEEE
Number of pages4
ISBN (Electronic)979-8-3503-6123-0
DOIs
Publication statusPublished - 2024
MoE publication typeA4 Conference publication
EventIEEE International Conference on Emerging Technologies and Factory Automation - Padova, Italy
Duration: 10 Sept 202413 Sept 2024

Publication series

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

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleETFA
Country/TerritoryItaly
CityPadova
Period10/09/202413/09/2024

Keywords

  • co-pilot
  • FBD generation
  • IEC 61499

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