Skip to main content

MAS-Based Cooperative Control for Biotechnological Process-A Case Study

  • Conference paper
Holonic and Multi-Agent Systems for Manufacturing (HoloMAS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5696))

Abstract

The MAS-based control seems to be better suited for manufacturing control because of its discrete event character. Nevertheless, for continuous industrial processes the MAS-based control can be also very attractive. In this paper, a synthesis of the MAS-based control system for the continuous process is presented. A biological reactor is controlled using respirometric approach. In this approach, both standard control loops and additional experiments are performed to obtain measurements not available on-line. Therefore, the system consists of different control agents being able to cooperate or to inhibit each other in order to achieve the appropriate goals. A case study experiments are realized using an experimental wastewater treatment pilot plant.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. The Knowledge Engineering Practice 10(2), 115–152 (1995)

    Article  Google Scholar 

  2. Jennings, N.R., Sycara, K., Wooldridge, M.: A Roadmap of Agent Research and Development. Autonomous Agents and Multi–Agent Systems, vol. 1, pp. 7–38. Kluwer Academic Publishers, Boston (1998)

    Google Scholar 

  3. Weiss, G. (ed.): Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge (1999)

    Google Scholar 

  4. Knapik, M., Johnson, J.: Developing Intelligent Agent for Distributed Systems. Mc Graw–Hill, New York (1998)

    Google Scholar 

  5. Shamma, J.S. (ed.): Cooperative control of distributed Multi-Agent-Systems. John Wiley & Sons, The Atrium (2007)

    Google Scholar 

  6. Van Dyke Parunak, H.: A practitioners’ review of industrial agent applications. Autonomous Agents and Multi-Agent Systems 3(4), 389–407 (2000)

    Article  Google Scholar 

  7. Marik, V., McFarlane, D.: Industrial Adoption of Agent-Based Technologies. IEEE Intelligent Systems, 27–35 (January/February 2005)

    Google Scholar 

  8. Fletcher, M., Brennan, R.W., Norrie, D.H.: Modelling and reconfiguring intelligent holonic manufacturing system with Internet-based mobile agents. Journal of Intelligent Manufacturing 14, 7–23 (2003)

    Article  Google Scholar 

  9. Kotak, D., Wu, S., Fleetwood, M., Tamoto, H.: Agent-based holonic design and operations environment for distributed manufacturing. Computers in Industry 52, 95–108 (2003)

    Article  Google Scholar 

  10. Pechoucek, M., Marik, V.: Industrial deployment of multi-agent technologies: review and selected case studies. Auton Agent Multi-Agent Syst. 17, 397–431 (2008)

    Article  Google Scholar 

  11. Choiński, D., Nocoń, W., Metzger, M.: Application of the Holonic Approach in Distributed Control Systems Designing. In: Marik, V., Vyatkin, V., Colombo, A.W. (eds.) HoloMAS 2007. LNCS (LNAI), vol. 4659, pp. 257–268. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  12. Metzger, M., Polaków, G.: Holonic Multiagent-Based System for Distributed Control of Semi-industrial Pilot Plants. In: Mařík, V., Vyatkin, V., Colombo, A.W. (eds.) HoloMAS 2007. LNCS, vol. 4659, pp. 338–347. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  13. Metzger, M.: Virtual controllers improve Internet-based experiments on semi-industrial pilot plants. In: Proceedings of the 16-th IFAC World Congress, Praga. Elsevier, Amsterdam (2005)

    Google Scholar 

  14. Nocon, W., Choinski, D., Metzger, M.: Web-based control and monitoring of the experimental pilot plant installations. In: Proceedings of the IFAC Workshop on Programmable Devices and Systems – PDS 2004, Krakow, pp. 94–99 (2004)

    Google Scholar 

  15. Polaków, G., Metzger, M.: ppPDC Communication Framework – A New Tool for Distributed Robotics. In: Carpin, S., Noda, I., Pagello, E., Reggiani, M., von Stryk, O. (eds.) SIMPAR 2008. LNCS (LNAI), vol. 5325, pp. 195–206. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  16. Spanjers, H., Vanrolleghem, P.A., Olsson, G., Dold, P.L.: Respirometry in Control of the Activated Sludge Process. Principles. IWAQ, Scientific and Technical Report No. 7 (1998)

    Google Scholar 

  17. Spanjers, H., Patry, G.G., Keesman, K.J.: Respirometry based on-line parameter estimation at full-scale WWTP. Water Science and Technology 45(4-5), 335–343 (2002)

    Google Scholar 

  18. Baeza, J.A., Gabriel, D., Lafuente, J.: In-line fast OUR (oxygen uptake rate) measurements for monitoring and control of WWTP. Water Science and Technology 45(4-5), 19–28 (2002)

    Google Scholar 

  19. Third, K.A., Sepramaniam, S., Tonkovic, Z., Newland, M., Cord-Ruwisch, R.: Optimisation of storage driven denitrification by using on-line specific oxygen uptake rate monitoring during SND in a SBR. Water Science and Technology 50(10), 171–180 (2004)

    Google Scholar 

  20. Badino Jr., A.C., Cândida, M., Facciotti, R., Schmidell, W.: Improving k(L)a determination in fungal fermentation, taking into account electrode response time. Journal of Chemical Technology and Biotechnology 75(6), 469–474 (2000)

    Article  Google Scholar 

  21. Soons, Z.I.T.A., Shi, J., Stigter, J.D., van der Pol, L.A., van Straten, G., van Boxtel, A.J.B.: Observer design and tuning for biomass growth and kLa using online and offline measurements. Journal of Process Control 18(7-8), 621–631 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Choinski, D., Metzger, M., Nocon, W. (2009). MAS-Based Cooperative Control for Biotechnological Process-A Case Study. In: Mařík, V., Strasser, T., Zoitl, A. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2009. Lecture Notes in Computer Science(), vol 5696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03668-2_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03668-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03666-8

  • Online ISBN: 978-3-642-03668-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics