A Parametric Event-Driven Flowed Token Petri Nets for Generic Agile Systems Modeling and Control

2006 ◽  
Author(s):  
Yuan-Chen Yu ◽  
Yao-Te Hsieh
Keyword(s):  
Petri Nets ◽  
Systems Modeling ◽  
Modeling And Control ◽  
Event Driven ◽  
And Control

Petri Net Model Based Design and Control of Robotic Manufacturing Cells

2012 ◽  
pp. 393-408
Author(s):  
Gen’ichi Yasuda
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
Manufacturing Cells ◽  
Modeling And Control ◽  
Complex Manufacturing Systems ◽  
Task Specification ◽  
And Control ◽  
The Coordinator

The methods of modeling and control of discrete event robotic manufacturing cells using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. Based on task specification, a conceptual Petri net model is transformed into the detailed Petri net model, and then decomposed into constituent local Petri net based controller tasks. The local controllers are coordinated by the coordinator through communication between the coordinator and the controllers. Simulation and implementation of the control system for a robotic workcell are described. By the proposed method, modeling, simulation, and control of large and complex manufacturing systems can be performed consistently using Petri nets.

Petri Net Model Based Design and Control of Robotic Manufacturing Cells

2013 ◽  
pp. 385-400 ◽  
Author(s):  
Gen’ichi Yasuda
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
Manufacturing Cells ◽  
Modeling And Control ◽  
Complex Manufacturing Systems ◽  
Task Specification ◽  
And Control ◽  
The Coordinator

The methods of modeling and control of discrete event robotic manufacturing cells using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. Based on task specification, a conceptual Petri net model is transformed into the detailed Petri net model, and then decomposed into constituent local Petri net based controller tasks. The local controllers are coordinated by the coordinator through communication between the coordinator and the controllers. Simulation and implementation of the control system for a robotic workcell are described. By the proposed method, modeling, simulation, and control of large and complex manufacturing systems can be performed consistently using Petri nets.

scholarly journals New Software Tool for Modeling and Control of Discrete-Event and Hybrid Systems Using Timed Interpreted Petri Nets

2020 ◽  
Vol 10 (15) ◽  
pp. 5027 ◽  
Author(s):  
Erik Kučera ◽  
Oto Haffner ◽  
Peter Drahoš ◽  
Ján Cigánek ◽  
Roman Leskovský  ◽  
...  
Keyword(s):  
Petri Nets ◽  
Hybrid Systems ◽  
Industry 4.0 ◽  
Discrete Event Systems ◽  
Production Systems ◽  
Discrete Event ◽  
Software Tool ◽  
Modeling And Control ◽  
Event Systems ◽  
And Control

For the development of modern complex production processes in Industry 4.0, it is appropriate to effectively use advanced mathematical models based on Petri nets. Due to their versatility in modeling discrete-event systems, Petri nets are an important support in creating new platforms for digitized production systems. The main aim of the proposed article is to design a new software tool for modeling and control of discrete-event and hybrid systems using Arduino and similar microcontrollers. To accomplish these tasks, a new tool called PN2ARDUINO based on Petri nets is proposed able to communicate with the microcontroller. Communication with the microcontroller is based on the modified Firmata protocol hence, the control algorithm can be implemented on all microcontrollers that support this type of protocol. The developed software tool was successfully verified in control of laboratory systems. In addition, it can be used for education and research purposes as it offers a graphical environment for designing control algorithms for hybrid and mainly discrete-event systems. The proposed software tool can improve education and practice in cyber-physical systems (Industry 4.0).

EO for Systems Modeling and Control

2018 ◽  
pp. 215-269
Author(s):  
Yong-Zai Lu ◽  
Yu-Wang Chen ◽  
Min-Rong Chen ◽  
Peng Chen ◽  
Guo-Qiang Chen
Keyword(s):  
Systems Modeling ◽  
Modeling And Control ◽  
And Control
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