Logic control law design for automated manufacturing systems

Abstract

To cite this version:Henry Sébastien, Éric Zamaï, Mireille Jacomino. Logic control law design for automated manufacturing systems. Engineering Applications of Artificial Intelligence, Elsevier, 2012, 25 (4) AbstractTo 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.

Reconfigureable Logic Control for Manufacturing Systems

“…Henry et al have developed a method to design logic controllers for automated manufacturing systems using the concept of operations [10]. This approach requires a detailed formal model of the system to be controlled, expressed in a formal language.…”

Towards Bayesian network methodology for predicting the equipment health factor of complex semiconductor systems

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