Visualized simulation framework design of cyber-physical systems for supervisory control
A Cyber-Physical System (CPS) is an integration of physical processes, ubiquitous computation, efficient communication, and effective control. This project aims to design a visualized simulation framework of several typical CPSs with systems modelled as Discrete-Event Systems (DES) and the Superviso...
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Nanyang Technological University
2021
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sg-ntu-dr.10356-1499512023-07-07T18:30:04Z Visualized simulation framework design of cyber-physical systems for supervisory control Seah, Patrick Chong Han Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering::Electrical and electronic engineering A Cyber-Physical System (CPS) is an integration of physical processes, ubiquitous computation, efficient communication, and effective control. This project aims to design a visualized simulation framework of several typical CPSs with systems modelled as Discrete-Event Systems (DES) and the Supervisory Control Theory (SCT) is adopted to achieve a closed-loop control. In this report, there will be a demonstration of the simulation of an existing smart manufacturing system, Impact Line 2.0. This will be shown as a realistic animated presentation with the specific settings of case studies and will show the discrete event systems occurring at a straightforward level, without the need for users to own the professional knowledge that was used in the initial programming. Also, it will be shown how the simulation can be connected to the manufacturing system in real time. This is done with an existing automaton debugger as the model for supervisory control. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-11T06:06:55Z 2021-06-11T06:06:55Z 2021 Final Year Project (FYP) Seah, P. C. H. (2021). Visualized simulation framework design of cyber-physical systems for supervisory control. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149951 https://hdl.handle.net/10356/149951 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Seah, Patrick Chong Han Visualized simulation framework design of cyber-physical systems for supervisory control |
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A Cyber-Physical System (CPS) is an integration of physical processes, ubiquitous computation, efficient communication, and effective control. This project aims to design a visualized simulation framework of several typical CPSs with systems modelled as Discrete-Event Systems (DES) and the Supervisory Control Theory (SCT) is adopted to achieve a closed-loop control. In this report, there will be a demonstration of the simulation of an existing smart manufacturing system, Impact Line 2.0. This will be shown as a realistic animated presentation with the specific settings of case studies and will show the discrete event systems occurring at a straightforward level, without the need for users to own the professional knowledge that was used in the initial programming. Also, it will be shown how the simulation can be connected to the manufacturing system in real time. This is done with an existing automaton debugger as the model for supervisory control. |
author2 |
Su Rong |
author_facet |
Su Rong Seah, Patrick Chong Han |
format |
Final Year Project |
author |
Seah, Patrick Chong Han |
author_sort |
Seah, Patrick Chong Han |
title |
Visualized simulation framework design of cyber-physical systems for supervisory control |
title_short |
Visualized simulation framework design of cyber-physical systems for supervisory control |
title_full |
Visualized simulation framework design of cyber-physical systems for supervisory control |
title_fullStr |
Visualized simulation framework design of cyber-physical systems for supervisory control |
title_full_unstemmed |
Visualized simulation framework design of cyber-physical systems for supervisory control |
title_sort |
visualized simulation framework design of cyber-physical systems for supervisory control |
publisher |
Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/149951 |
_version_ |
1772825901268992000 |