An Identification Method for PLC-based Automated Discrete Event Systems
Résumé
This paper deals with identification of automated Discrete Event Systems (DES). A method for processing sequences of input/output signals from PLC-based controlled DES is proposed; it yields an interpreted Petri net model describing the closed-loop behavior of the automated DES. This new method extends a previously presented approach by taking into account the technological characteristics of industrial controllers and the data collection requirements. Based on polynomial-time algorithms, the method is implemented as an efficient software tool; its use is illustrated through a case study dealing with an automated manufacturing system.
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