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An Automated Generation Approach of Simulation Models for Checking Control/Monitoring System
- Source :
- IFAC World Congress, IFAC World Congress, Jul 2017, Toulouse, France
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- This paper presents an automated Model-Driven generation flow of simulation models. This generation is used to test control/monitoring systems during each step of their design, also generated within an automated design flow. The proposal is applied to fluid management systems, a kind of particular process control systems, both discrete and continuous. Starting from a Piping and Instrumentation Diagram, the “Simulation Flow” automatically generates Modelica models, allowing to check the programs and interfaces resulting from the main “Design Flow”.
- Subjects :
- 0209 industrial biotechnology
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing
Computer science
Real-time computing
Design flow
Control (management)
Verification of hybrid systems
02 engineering and technology
Modelica
020901 industrial engineering & automation
020401 chemical engineering
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Process control
0204 chemical engineering
ComputingMilieux_MISCELLANEOUS
Simulation modeling
Supervision and testing
Modelling and control of hybrid and discrete event systems
Control engineering
Monitoring system
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Flow (mathematics)
Control and Systems Engineering
[SCCO.PSYC] Cognitive science/Psychology
[SCCO.PSYC]Cognitive science/Psychology
Virtual commissioning
[SHS.GESTION]Humanities and Social Sciences/Business administration
[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
Piping and instrumentation diagram
[SHS.GESTION] Humanities and Social Sciences/Business administration
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IFAC World Congress, IFAC World Congress, Jul 2017, Toulouse, France
- Accession number :
- edsair.doi.dedup.....18c24bad340671035ac017c82b1cb99a