MODELING AND CONTROL FOR CLOSED ENVIRONMENT PLANT PRODUCTION SYSTEMS

2002 ◽  
pp. 85-92 ◽  
Author(s):  
David Fleisher ◽  
K.C. Ting
2020 ◽  
Vol 10 (15) ◽  
pp. 5027 ◽  
Author(s):  
Erik Kučera ◽  
Oto Haffner ◽  
Peter Drahoš ◽  
Ján Cigánek ◽  
Roman Leskovský  ◽  
...  

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).


Author(s):  
Ali Çaylı ◽  
Emir Hüseyin Kaya

Due to rapidly increasing population and urbanization, agricultural lands are shrinking. However, environmental problems and pollution are constantly increasing. This poses a threat to agricultural production and food access. In order to overcome these threats, the use of fully controlled indoor production systems called plant factory is becoming widespread. The management of plant nutrition and monitor of environmental conditions is very important for production in the plant factory. Plant production is sensitive to environmental conditions. For this reason, it is necessary to make accurate measurements in order to ensure the correct climatic conditions. The high cost of control systems designed for this purpose is a problem for producers. In this study, a mini plant factory prototype and control system are presented which is developed by using open source hardware and software. In addition, the temperature, relative humidity and light measured by the low-cost sensors were compared with the reference devices and the system performance and stability were investigated.


Author(s):  
Gen’ichi Yasuda

This chapter presents a systematic methodology for modeling and controlling productive tasks at the organization and coordination levels in advanced production systems, especially focusing on design and implementation aspects of lean production systems. Petri nets have been successfully introduced as an effective tool for describing control specifications and realizing the control. Nowadays, large-scale and complex production systems have a hierarchical structure, and the controllers are distributed according to their physical structure. Therefore, it is natural to realize the hierarchical and distributed management and control. In this chapter, to overcome some difficulties in the modeling of production systems with a large number of elements in Petri nets, High-Level Activity-Based Petri Nets (HAPN) are defined based on condition-event Petri nets. The high-level extended net representation of the production task flows can provide more synthetic specifications for consistent management and control of production systems by a top-down refinement methodology.


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1990 ◽  
Vol 219 (-1) ◽  
pp. 660

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