A Proxy Design Pattern to Support Real-Time Distributed Control System Benchmarking

  • K. Soundararajan
  • R. W. Brennan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3593)

Abstract

In this paper we propose a hybrid physical/simulation environment for benchmarking real-time distributed control systems. This environment uses Arena® Real Time for simulation and the Java-based TINI platform for real-time control. The paper focuses on the development of a software design pattern for client-server communication.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brennan, R.W., Soundararajan, K.: A hybrid simulation/physical environment for benchmarking real-time distributed control systems. In: Proceedings of the 16th IFAC World Congress (2005)Google Scholar
  2. Brennan, R.W., William, O.: Performance analysis of a multi-agent scheduling and control system for manufacturing. Production Planning and Control 15(2), 225–235 (2004)CrossRefGoogle Scholar
  3. Cavalieri, S., Garetti, M., Macchi, M., Taisch, M.: An experimental benchmarking of two multi-agent architectures for production scheduling and control. Computers in Industry 43(2), 139–152 (2000)CrossRefGoogle Scholar
  4. Christensen, J.H.: HoloBloc Website (2005), http://www.holobloc.com
  5. Douglass, B.: Doing Hard Time: Developing Real-time Systems with UML, Objects, Frameworks, and Patterns. Addison-Wesley, Reading (1999)Google Scholar
  6. IEC TC65/WG6 Voting Draft – Publicly Available Specification - Function Blocks for Industrial Process-measurement and Control Systems, Part 1-Architecture, International Electrotechnical Commission (2000)Google Scholar
  7. Kelton, W., Sadowski, R., Sadowski, D.: Simulation with Arena. McGraw-Hill, New York (1998)Google Scholar
  8. Loomis, D.: The TINI Specification and Developer’s Guide. Pearson, London (2001)Google Scholar
  9. McFarlane, D.C., Bussmann, S.: Developments in holonic production planning and control. Production Planning and Control 11(6), 522–536 (2000)CrossRefGoogle Scholar
  10. Olsen, S., Scarlett, J., Brennan, R.W., Norrie, D.H.: Contingencies-based reconfiguration of holonic control devices. In: 6th IEEE/IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services, Vienna, Austria (2004)Google Scholar
  11. Shen, W., Norrie, D.H., Barthes, J.-P.: Multi-agent Systems for Concurrent Intelligent Design and Manufacturing. Taylor & Francis, Abington (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • K. Soundararajan
    • 1
  • R. W. Brennan
    • 1
  1. 1.Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryCanada

Personalised recommendations