Conference article

High-fidelity Modelling of Self-regulating Pneumatic Valves

Alexander Pollok
Institute of System Dynamics and Control, German Aerospace Center (DLR), Germany

Francesco Casella
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy

Download articlehttp://dx.doi.org/10.3384/ecp15118577

Published in: Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015

Linköping Electronic Conference Proceedings 118:62, s. 577-583

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Published: 2015-09-18

ISBN: 978-91-7685-955-1

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

Abstract

In conventional aircraft energy systems, Self-regulating pneumatic valves are used to control the pressure and mass flow of the bleed air. The dynamic behavior of these valves is complex and dependant on several physical phenomena. In some cases, limit cycles can occur, deteriorating performance. This paper presents a complex multiphysical model of Self-regulating pneumatic valves implemented in Modelica. First, the working-principle is explained and common challenges in control-system design-problems related to these valves are illustrated. Then, a Modelica-model is presented in detail, taking into account several physical domains. It is then shown, how limit cycle oscillations occuring in aircraft energy systems can be represented with this model. Finally, some multi-domain interactive effects are described.

Keywords

Modelica; hermofluid; Modeling; Friction; Electrohydraulic; Hydraulic

References

Martin Aberger and Martin Otter. Modeling friction in modelica with the lund-grenoble friction model. In Proceedings of the 2nd International Modelica Conference, 2002.

Peter Beater. Modeling and digital simulation of hydraulic systems in design and engineering education using modelica and hylib. In Modelica workshop, pages 23–24, 2000.

Peter Beater and Christoph Clauß. Multidomain systems: Pneumatic, electronic and mechanical subsystems of a pneumatic drive modelled with modelica. In Paper presented at the 3rd International Modelica Conference, 2003.

WL Bialowski. Dreams vs. reality: a view from both sides of the gap. Pulp and Paper Canada, 94:19–27, 1993.

Francesco Casella, Martin Otter, Katrin Proelss, Christoph Richter, and Hubertus Tummescheit. The modelica fluid and media library for modeling of incompressible and compressible thermo-fluid pipe networks. In Proceedings of the Modelica Conference, pages 631–640, 2006.

MAA Shoukat Choudhury, Sirish L Shah, Nina F Thornhill, and David S Shook. Automatic detection and quantification of stiction in control valves. Control Engineering Practice, 14(12):1395–1412, 2006.

C Canudas De Wit, Hans Olsson, Karl Johan Astrom, and Pablo Lischinsky. A new model for control of systems with friction. Automatic Control, IEEE Transactions on, 40(3): 419–425, 1995.

Lane Desborough and Randy Miller. Increasing customer value of industrial control performance monitoringhoneywell’s experience. In AIChE symposium series, pages 169–189. New York; American Institute of Chemical Engineers; 1998, 2002.

Martin Otter, Hilding Elmqvist, and Sven Erik Mattsson. The new modelica multibody library. In Proceedings of the 3rd International Modelica Conference. Citeseer, 2003.

Sven-Erik Pohl and Markus Gräf. Dynamic simulation of a free-piston linear alternator in modelica. In Modelica, 2005.

Aron Pujana-Arrese, Javier Arenas, Iban Retolaza, Ana Martinez-Esnaola, and Joseba Landaluze. Modelling in modelica of a pneumatic muscle: application to model an experimental set-up. In 21st European conference on modelling and simulation, ECMS, pages 4–6, 2007.

Michael Sielemann. Device-Oriented Modeling and Simulation in Aircraft Energy Systems Design. PhD thesis, Hamburg University of Technology, 2012a.

Michael Sielemann. High-speed compressible flow and gas dynamics. In Proceedings of the 9th International Modelica Conference, 2012b.

C Solliec and F Danbon. Aerodynamic torque acting on a butterfly valve. comparison and choice of a torque coefficient. Journal of fluids engineering, 121(4):914–917, 1999.

Michael Tiller. Introduction to physical modeling with Modelica. Springer Science & Business Media, 2001.

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