Agent-based control of manufacturing processes
by Zahir Albadawi, Benoit Boulet, Robert DiRaddo, Patrick Girard, Alexandre Rail, Vincent Thomson
International Journal of Manufacturing Research (IJMR), Vol. 1, No. 4, 2006

Abstract: Modern manufacturing systems deal with highly dynamic and complex processes, and need to adapt to rapid changes in manufacturing environments. These requirements can be met by model-based control that greatly improves process adaptiveness by integrating process phenomena knowledge with advanced simulation tools. Intelligent agent-based technologies provide a flexible platform for the implementation of model-based control. Two model-based control systems were implemented using an agent-based architecture: a linear, tuneable model for the plastic thermoforming process, and a non-linear, mathematical and rule-based model for the metal powder grinding process. Resulting advantages and improvements in performance, adaptiveness and productivity are highlighted.

Online publication date: Wed, 31-Jan-2007

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