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Appl. Sci. 2017, 7(4), 422; doi:10.3390/app7040422

A Program Model of Fuzzy Interpreted Petri Net to Control Discrete Event Systems

Department of Computer and Control Engineering, Rzeszow University of Technology, Rzeszow 35-959, Poland
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Author to whom correspondence should be addressed.
Academic Editor: Elli Kartsakli
Received: 20 January 2017 / Revised: 29 March 2017 / Accepted: 16 April 2017 / Published: 22 April 2017
(This article belongs to the Special Issue Modeling, Simulation, Operation and Control of Discrete Event Systems)
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Abstract

Using Petri nets (PNs) to control discrete event systems (DES) has many benefits, because of their graphical representations, the possibility of parallel process control, and their formal descriptions. Amongst the different PNs that are applied for this purpose, most have some limitations for visualization. For many of these PNs, another restriction is the length of time between the creation of the control algorithm in the form of a graph and its practical implementation. These two issues can be resolved with one solution called fuzzy interpreted PN (FIPN). This article proposes the use of a program model based on FIPN to control DES and the method for generation of this model using the graphical representation of the net. FIPN offers a better visualization in comparison to discrete PNs and it allows for the quick creation of program code through the application of a simulator called FIPN-SML. This computer tool implements a method that transforms the graphical form of FIPN into Structured Text (ST) language supported by the IEC 61131-3. View Full-Text
Keywords: Petri net; Petri net simulation; Petri net modelling; automatic program generation; programmable logic controller; discrete event systems Petri net; Petri net simulation; Petri net modelling; automatic program generation; programmable logic controller; discrete event systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Markiewicz, M.; Gniewek, L. A Program Model of Fuzzy Interpreted Petri Net to Control Discrete Event Systems. Appl. Sci. 2017, 7, 422.

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