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

Markiewicz, Michał; Gniewek, L.

doi:10.3390/app7040422

Cited by 11 publications

(7 citation statements)

References 51 publications

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“…In addition, literature shows the use of other PLC programming languages as well. References evolve from the mentioned LDs [19][20][21][22] and/or instruction lists [23,24] to more recent proposals in standard programming languages [25] or structured text (ST) [26], for portability to different PLCs. In a recent paper, Ref.…”

Section: Related Work and Proposalmentioning

confidence: 99%

Petri Net-Based Semi-Compiled Code Generation for Programmable Logic Controllers

Fernandez

Ayani²,

Mugarza

et al. 2021

Applied Sciences

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Industrial discrete event dynamic systems (DEDSs) are commonly modeled by means of Petri nets (PNs). PNs have the capability to model behaviors such as concurrency, synchronization, and resource sharing, compared to a step transition function chart or GRAphe Fonctionnel de Commande Etape Transition (GRAFCET) which is a particular case of a PN. However, there is not an effective systematic way to implement a PN in a programmable logic controller (PLC), and so the implementation of such a controller outside a PLC in some external software that will communicate with the PLC is very common. There have been some attempts to implement PNs within a PLC, but they are dependent on how the logic of places and transitions is programmed for each application. This work proposes a novel application-independent and platform-independent PN implementation methodology. This methodology is a systematic way to implement a PN controller within industrial PLCs. A great portion of the code will be validated automatically prior to PLC implementation. Net structure and marking evolution will be checked on the basis of PN model structural analysis, and only net interpretation will be manually coded and error-prone. Thus, this methodology represents a systematic and semi-compiled PN implementation method. A use case supported by a digital twin (DT) is shown where the automated solution required by a manufacturing system is carried out and executed in two different devices for portability testing, and the scan cycle periods are compared for both approaches.

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Section: Related Work and Proposalmentioning

confidence: 99%

Petri Net-Based Semi-Compiled Code Generation for Programmable Logic Controllers

Fernandez

Ayani²,

Mugarza

et al. 2021

Applied Sciences

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“…In FPRs, the antecedent and the consequent of each rule contain the fuzzy concepts expressed by fuzzy sets. The FPR is called a composite FPR if it contains either AND or OR connectors [35,36].…”

Section: Fuzzy Production Rulesmentioning

confidence: 99%

Picture Fuzzy Petri Nets for Knowledge Representation and Acquisition in Considering Conflicting Opinions

Shi

et al. 2019

Applied Sciences

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Fuzzy Petri nets (FPNs) have been applied in many fields as a potential modeling tool for knowledge representation and reasoning. However, there exist many deficiencies in the conventional FPNs when applied in the real world. In this paper, we present a new type of FPN, called picture fuzzy Petri nets (PFPNs), to overcome the shortcomings and improve the effectiveness of the traditional FPNs. First, the proposed PFPN model adopts the picture fuzzy sets (PFSs), characterized by degrees of positive membership, neutral membership, and negative membership, to depict human expert knowledge. As a result, the uncertainty, due to vagueness, imprecision, partial information, etc., can be well-handled in knowledge representation. Second, a similarity degree-based expert weighting method is offered for consensus reaching processes in knowledge acquisition. The proposed PFPN model can manage the conflicts and inconsistencies among expert evaluations in knowledge parameters, thus, making the obtained knowledge rules more accurate. Finally, a realistic example of a gene regulatory network is provided to illustrate the feasibility and practicality of the proposed PFPN model.

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“…However, the FIPN has actually not been implemented in FPGAs. Instead, programmable controllers have been exercised as the implementation platform [26], [27]. The proposed idea of hardware implementation of the FIPN, coming from [13], relies on the utilization of fuzzy RS flip-flops and fuzzy gates based on sum and limited multiplication operations.…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of Fuzzy Interpreted Petri Net

Hajduk

Wojtowicz

2020

IEEE Access

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The paper introduces new implementation methods of the fuzzy interpreted Petri net (FIPN) on FPGAs. The realization of FIPN is based on fast array multipliers and multipliers utilizing DSP blocks available on FPGA systems. The paper contains descriptions of particular network components' architectures and results of simulations of these components. In the paper a real control system is designed, which is used to show properties of FIPN. A few slightly different implementations of the example control system as well as their comparison in terms of FPGA resources requirement and calculations speed are also featured. The conducted experiments revealed that the proposed FPGA implementation is many times faster than software realizations of the same control system exercising typical microprocessors and microcontrollers. INDEX TERMS Fuzzy interpreted Petri net, intelligent control systems modeling and analysis, FPGA implementation.

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

Cited by 11 publications

References 51 publications

Petri Net-Based Semi-Compiled Code Generation for Programmable Logic Controllers

Petri Net-Based Semi-Compiled Code Generation for Programmable Logic Controllers

Picture Fuzzy Petri Nets for Knowledge Representation and Acquisition in Considering Conflicting Opinions

FPGA Implementation of Fuzzy Interpreted Petri Net

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