Conference article

Feedback Loop Optimization for a Distillation System by applying C-Code Controllers with Dymola

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

Download articlehttp://dx.doi.org/10.3384/ecp09430054

Published in: Proceedings of the 7th International Modelica Conference; Como; Italy; 20-22 September 2009

Linköping Electronic Conference Proceedings 43:55, s. 496-501

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Published: 2009-12-29

ISBN: 978-91-7393-513-5

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

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.

Keywords

Process engineering; automatic control systems; simulation; interdisciplinary models; optimization

References

[1] O. Föllinger; Regelungstechnik; Hüthig Verlag; Heidelberg; 8 edition; 1994.

[2] Peter Fritzson; Principles of Object-Oriented Modeling and Simulation with Modelica 2.1; IEEE Press; Piscataway; NJ; 2004.

[3] O. Föllinger; Optimierung dynamischer Systeme; R. Oldenbourg Verlag; München; 1985.

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