• DocumentCode
    74490
  • Title

    Development of PLC-Based Software for Increasing the Dependability of Production Automation Systems

  • Author

    Schutz, Daniel ; Wannagat, Andreas ; Legat, C. ; Vogel-Heuser, Birgit

  • Author_Institution
    Inst. of Autom. & Inf. Syst., Tech. Univ. Munchen, Garching, Germany
  • Volume
    9
  • Issue
    4
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    2397
  • Lastpage
    2406
  • Abstract
    This paper presents the elaboration of a concept to develop and implement real-time capable industrial automation software that increases the dependability of production automation systems by means of soft sensors. An application example with continuous behavior as it is a typical character treat of process automation is used to illustrate the initial requirements. Accordingly, the modeling concept is presented which supports application development and which is supplemented by an implementation approach for standard automation devices, e.g., programmable logic controllers. The paper further comprises an evaluation which adapts the concept for two use cases with discrete behavior (typical character treat of manufacturing automation) and validates the initially imposed requirements.
  • Keywords
    factory automation; production engineering computing; programmable controllers; sensors; software engineering; PLC-based software development; application development; discrete behavior; manufacturing automation; modeling concept; production automation system dependability enhancement; programmable logic controllers; real-time capable industrial automation software development; real-time capable industrial automation software implementation; soft sensors; standard automation devices; Automation; Production; Programmable control; Real-time systems; Software engineering; Unified modeling language; Agent-based approaches; model-based system and software engineering; production automation;
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2012.2229285
  • Filename
    6359925