Utilization of Advanced Control Devices and Highly Autonomous Systems for the Provision of Distributed Automation Systems

  • Athanasios Kalogeras
  • Luca Ferrarini
  • Arndt Lüder
  • Christos Alexakos
  • Carlo Veber
  • Michael Heinze

Abstract

The importance of European manufacturing remains high for the European economy as it still accounts directly for 22% of EU Gross Domestic Product (GDP), while it is estimated that 75% of EU GDP and 70% of jobs indirectly depend on the manufacturing sector. Facing intense global competition, the European manufacturing sector has to increase its flexibility and promote advanced business models involving the customer in all phases of the product lifecycle, such as mass customization. Distributed Automation Systems enable the enforcement of such models. Formerly physically centralized hardware and software is distributed in smaller units within the automation system. Advanced control devices relying on a common modeling paradigm may be used in order to provide intelligence at the field/control level. On the other hand, autonomous acting systems may provide the needed middleware for enabling flexible manufacturing systems.

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References

  1. [1]
    ARC Advisory Group. 2001. PLCs: Is There a Future?. ARC Strategies, Dedham: ARC.Google Scholar
  2. [2]
    Lorentz, K., A. Lüder and J. Peschke. 2001. PABADIS – Fabrikautomatisierung basierend auf verteilten Systemen. In: Schraft, R., K. Bender and G. Brandenburg, eds. Tagungsband SPS/IPC/Drives 2001. Heidelberg: Hüthig.Google Scholar
  3. [3]
    Shen, W., Q. Hao, H. Yoon and D.H. Norrie. 2006. Applications of Agent Systems in Intelligent Manufacturing: An Update Review. International Journal of Advanced Engineering Informatics, 20 (4): 415-431.CrossRefGoogle Scholar
  4. [4]
    Lüder, A., J. Peschke, A. Klostermeyer and H. Kühnle. 2004. Design Pattern for Distributed Agent Based Factory Automation. In: Proceedings of the IMS International Forum 2004 - Global Challenges in Manufacturing. Cernobbio. pp. 783-791.Google Scholar
  5. [5]
    Rode, J. and D. Wünsch. 2007. A research agenda for adaptive manufacturing. In: Proceedings of the 12th IEEE International Conference on Emerging Technologies and Factory Automation, 25-28 September, Patras.Google Scholar
  6. [6]
    PABADIS’PROMISE Consortia. 2008. White paper 1 – Structure and behaviour of a PABADIS’PROMISE system. Available from: www.pabadis-promise.org [Accessed 19.03.2008].Google Scholar
  7. [7]
    Ferrarini, L., C. Veber, A. Lüder, J. Peschke, A. Kalogeras, J. Gialelis, J. Rode, D. Wünsch and V. Chapurlat. 2006. Control Architecture for Reconfigurable Manufacturing Systems: the PABADIS’PROMISE approach. In: Proceedings of the 11th IEEE International Conference on Emerging Technologies and Factory Automation, September, Prague.Google Scholar
  8. [8]
    PABADIS’PROMISE Consortia. Deliverable 3.1, Development of Manufacturing Ontology. Google Scholar
  9. [9]
    Kalogeras, A.P., L. Ferrarini, A. Lueder, J. Gialelis, C. Alexakos, J. Peschke and C. Veber. 2007. Ontology-driven Control Application Design Methodology. In: Proceedings of the 12th IEEE Conference on Emerging Technologies and Factory Automation, 25-28 September, Patras. pp. 1425-1428.Google Scholar
  10. [10]
    PABADIS’PROMISE Consortia. Deliverable 2.1, Concept of Overall PABADIS PROMISE Architecture Components. Google Scholar
  11. [11]
    Lüder, A., J. Peschke, A. Bratukhin, A. Treytl, A. Kalogeras and J. Gialelis. 2006. Order Oriented Manufacturing Control, The PABADIS’PROMISE approach. In: ANIPLA 2006 International Congress Methodologies for Emerging Technologies in Automation, November, Rome.Google Scholar
  12. [12]
    Wooldridge, M., N. Jennings and D. Kinny. 2000. The GAIA methodology for agentoriented analysis and design. Autonomous Agents and Multi-Agent Systems, 3 (3): 285-312.CrossRefGoogle Scholar
  13. [13]
    Bellifemine, F., G. Caire and D. Greenwood. 2007. Developing multi-agent Systems with JADE. Chichester: Wiley.CrossRefGoogle Scholar
  14. [14]
    FIPA consortium. 2008. Available from: www.fipa.org [Accessed 19.03.2008].Google Scholar
  15. [15]
    PABADIS’PROMISE Consortia. Deliverable 4.1. Available from: www.pabadispromise.org, [Accessed 19.03.2008].Google Scholar
  16. [16]
    PABADIS’PROMISE Consortia. Deliverable 6.1. Available from: http://www.unimagdeburg.de/iaf/cvs/pabadispromise/dokumente/del_6_1_final.pdf [Accessed 19.03.2008].Google Scholar
  17. [17]
    Vyatkin, V. 2007. IEC 61499 Function Blocks for Embedded and Distributed Control Systems. O3NEIDA – Instrumentation Society of America.Google Scholar
  18. [18]
    Lorentz, K., A. Kalogeras, T. Bauten, L. Ferrarini, C. Schwab, J. Thieme, G. Fogliazza and A. Vontas. Next Generation Integrated Development of Automation Control Code in TORERO. In: International Symposium on Industrial Electronics IEEE-ISIE’2003, June, Rio de Janeiro.Google Scholar

Copyright information

© Springer-Verlag London Limited 2010

Authors and Affiliations

  • Athanasios Kalogeras
    • 1
  • Luca Ferrarini
    • 2
  • Arndt Lüder
    • 3
  • Christos Alexakos
    • 1
  • Carlo Veber
    • 2
  • Michael Heinze
    • 3
  1. 1.Industrial Systems InstitutePlatani PatrasGreece
  2. 2.Dipartimento di Elettronica e InformazionePolitecnico di MilanoMilanoItaly
  3. 3.Faculty for Mechanical Engineering, Institute for Ergonomics, Manufacturing Systems, and AutomationOtto-von-Guericke University of MagdeburgMagdeburgGermany

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