Development and adaptation of IEC 61499 automation and control applications with runtime variability models

Froschauer, Roman; Zoitl, Alois; GrÃ¼nbacher, Paul

doi:10.1109/INDIN.2009.5195923

Development and adaptation of IEC 61499 automation and control applications with runtime variability models

by Roman Froschauer, Alois Zoitl, Paul GrÃ¼nbacher

Abstract:

Developers maintaining distributed control systems are facing significant problems when dealing with changing customer requirements during the development and operation of industrial production facilities. Research has so far largely focused on implementation-level engineering challenges. Model-driven approaches are seen as promising for dealing with the increasing complexity of adapting distributed control systems. We present an approach for capturing architectural variability of distributed IEC 61499 automation and control systems based on product line variability models. Our automated approach supports decision-driven derivation and adaptation of systems at runtime.

Reference:

Roman Froschauer, Alois Zoitl, Paul GrÃ¼nbacher, "Development and adaptation of IEC 61499 automation and control applications with runtime variability models", pp. 905-910, 2009.

Bibtex Entry:

@Conference{Froschauer2009,
  Title                    = {Development and adaptation of IEC 61499 automation and control applications with runtime variability models},
  Author                   = {Roman Froschauer and Alois Zoitl and Paul GrÃ¼nbacher},
  Booktitle                = {Proceedings 7th IEEE Int'l Conference on Industrial Informatics (INDIN 2009) },
  Year                     = {2009},
  Month                    = {june},
  Pages                    = {905-910},

  Abstract                 = {Developers maintaining distributed control systems are facing significant problems when dealing with changing customer requirements during the development and operation of industrial production facilities. Research has so far largely focused on implementation-level engineering challenges. Model-driven approaches are seen as promising for dealing with the increasing complexity of adapting distributed control systems. We present an approach for capturing architectural variability of distributed IEC 61499 automation and control systems based on product line variability models. Our automated approach supports decision-driven derivation and adaptation of systems at runtime.},
  Doi                      = {10.1109/INDIN.2009.5195923},
  ISSN                     = {1935-4576}
}