Abstract
Process control algorithms constitute a specific software model, as they have well-defined and constant sets of inputs and outputs, and perform calculations cyclically in real time. Therefore, the algorithms rarely are implemented otherwise than embedded in the low level control instrumentation. This paper proposes a departure from this well-known approach in order to apply multi-agent system directly in the control layer. While this novel approach creates few issues requiring resolving, such as the need to develop an agent-based software operating in real time, it also provides the crucial benefit i.e. the possibility of developing the modules of the control algorithm by experts from different fields, which allows for cooperative dynamic engineering of a control algorithm. The resulting methodology allows to include more modern and advanced solutions from various fields of control science than it is possible in the case of the classical approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Czeczot, J., Łaszczyk, P., Metzger, M.: Local balance-based adaptive control in the heat distribution system - practical validation. Appl. Therm. Eng. 30(8/9), 879–891 (2010)
Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M.: Diagnosis and Fault-Tolerant Control. Springer, Berlin (2006)
Choinski, D., Skupin, P., Szajna, E.: Optimization of engineering design cycles in enterprise integration. In: Luo, Y. (ed.) CDVE 2013. LNCS, vol. 8091, pp. 153–156. Springer, Heidelberg (2013)
Polaków, G., Metzger, M.: pPDC blackboard broadcasting in agent-based distributed process control. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2011. LNCS, vol. 6682, pp. 241–250. Springer, Heidelberg (2011)
Polaków, G., Metzger, M.: Performance evaluation of the parallel processing producer-distributor-consumer network architecture. Comput. Stand. Interfaces 35(6), 596–604 (2013)
Metzger, M., Polaków, G.: A Survey on applications of agent technology in industrial process control. IEEE Trans. Industr. Inf. 7(4), 570–581 (2011)
Skupin, P., Metzger, M.: The application of multi-agent system in monitoring and control of nonlinear bioprocesses. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, S.-B. (eds.) HAIS 2012, Part III. LNCS, vol. 7208, pp. 25–36. Springer, Heidelberg (2012)
Polaków, G., Laszczyk, P., Metzger, M.: Agent-based approach to model-based dynamically reconfigurable control algorithm. In: Fikar, M., Kvasnica, M. (eds.) International Conference on Process Control (PC2015), pp. 375–380, Štrbské Pleso (2015)
Acknowledgements
This work was supported by the National Science Centre under grant No. 2012/05/B/ST7/00096 and by the Ministry of Science and Higher Education under grants BK-UiUA and BKM-UiUA.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Polaków, G., Laszczyk, P. (2015). Cooperative Engineering of Agent-Based Process Control Algorithm. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2015. Lecture Notes in Computer Science(), vol 9320. Springer, Cham. https://doi.org/10.1007/978-3-319-24132-6_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-24132-6_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24131-9
Online ISBN: 978-3-319-24132-6
eBook Packages: Computer ScienceComputer Science (R0)