Hansjörg Kapeller
AIT Austrian Institute of Technology, Mobility Department, Electric Drive Technologies, Austria
Dragan Simic
AIT Austrian Institute of Technology, Mobility Department, Electric Drive Technologies, Austria
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http://dx.doi.org/10.3384/ecp09430054Published in: Proceedings of the 7th International Modelica Conference; Como; Italy; 20-22 September 2009
Linköping Electronic Conference Proceedings 43:55, p. 496-501
Published: 2009-12-29
ISBN: 978-91-7393-513-5
ISSN: 1650-3686 (print), 1650-3740 (online)
The process engineering domain covers a large field of different disciplines such as thermodynamics; electrical engineering or chemistry. On one hand just the knowledge about these different disciplines to approach and develop standalone-solutions is a big challenge where on the other hand the configuration and the control of the system routines are crucial steps. Nowadays most applications in process engineering are automated and digital signal processors (DSP) are widely used to implement control modules for different automatic control systems in an efficient and flexible way. Nevertheless; without dynamically applicable and real-time capable models it seems nearly impossible to estimate real operating conditions (e.g. controller parameter settings) in process engineering according to real requirements.
This paper presents the simulation model of a thermal control circuit for determining the distillation properties of petrochemical end products modeled in Modelica and performed by using the simulation tool Dymola. This simulation environment improves the design of interdisciplinary models and allows the optimization of the entire feedback loop.
Process engineering; automatic control systems; simulation; interdisciplinary models; optimization
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