Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00316410" target="_blank" >RIV/68407700:21230/17:00316410 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/17:00316410
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2405896317315082" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896317315082</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2017.08.1027" target="_blank" >10.1016/j.ifacol.2017.08.1027</a>
Alternative languages
Result language
angličtina
Original language name
Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description
Original language description
Process simulations are useful test-beds for experiments and optimizations along the entire industrial plant life-cycle. Shifting testing and tuning of industrial plants and their automation systems from the real world to simulated environments is a part of a virtualization, which is one of the key movements in emerging areas of Industry 4.0 and factories of the future. Although simulations bring a large variety of benefits, they suffer from a time-consuming and error-prone design phase, which limits their use in industrial practice. This paper proposes a new design method called AML2SIM, which transforms the real plant description represented in AutomationML (AML) and generates a dynamic simulation model (SIM). The proposed method signifcantly improves the engineering and re-design of simulation models in terms of saving time and effort of experts as the models can be easily re-generated based on a given AutomationML plant model. Simulations are assembled from simulation blocks that are shared among various projects in simulation libraries, hence the method contributes to reuse of simulation artifacts.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the IFAC 2017 World Congress
ISBN
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ISSN
2405-8963
e-ISSN
2405-8963
Number of pages
8
Pages from-to
7613-7620
Publisher name
Elsevier
Place of publication
Kidlington Oxford OX GB
Event location
Toulouse
Event date
Jul 9, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000423964900262