Logic control law design for automated manufacturing systems

  • Authors:
  • Sébastien Henry;Eric Zamaï;Mireille Jacomino

  • Affiliations:
  • University of Lyon, Claude Bernard Lyon 1, IUT Lyon 1, DISP Laboratory, Villeurbanne 69627, France;Grenoble-INP, G-SCOP Laboratory, 46 Avenue Felix Viallet, 38031 Grenoble Cedex 1, France;Grenoble-INP, G-SCOP Laboratory, 46 Avenue Felix Viallet, 38031 Grenoble Cedex 1, France

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2012

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Abstract

To respond rapidly to the highly volatile market, the reconfigurable manufacturing systems (RMS) have brought forward challenging issues. First of all there is a need to build a formal model of a manufacturing configuration. Second it has to be rather easy to derive the models associated to the manufacturing configuration changes (reconfiguration) from such an initial model. An off-line method of rapid design of an optimal logic control law (configuration) based on Petri net (PN) is presented in this paper. From a controlled system modeling point of view, the main characteristics of the level 1 of the CIM architecture are depicted. Subsequently, the formal tool used in the automated planning field is extended to provide a controlled system model. The concept of operation is structured in order to introduce the behavioral properties of the operations. A four-step method is then proposed to design a logic control law that satisfies several goals: reduction of the lead time, satisfaction of the work orders objectives, minimization of the time cycle. Finally, the proposed design method is illustrated on a manufacturing cell.