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Automated symbolic model reduction for mechatronical systems

 
: Broz, J.; Clauß, C.; Halfmann, T.; Lang, P.; Martin, R.; Schwarz, P.

:
Postprint urn:nbn:de:0011-n-491613 (1.0 MByte PDF)
MD5 Fingerprint: 39299159003e76deaebfae7e62c480a6
© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 8.12.2012


Institute of Electrical and Electronics Engineers -IEEE-; TU München:
IEEE International Conference on Control Applications, International Symposium on Computer Aided Control Systems Design, and International Symposium on Intelligent Control 2006 : October 4-6, 2006, Munich, Germany; Proceedings
New York, NY: IEEE, 2006
S.408-415
International Conference on Control Applications (CCA) <2006, München>
International Symposium on Computer Aided Control Systems Design (CACSD) <2006, München>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()

Abstract
A new modelling approach for mechatronical systems using symbolic methods based on the EDA tool Analog Insydes is presented. The netlist-based modelling language has been extended for the handling of multi-domain and vectortype through and across variables. Additionally, a library of symbolic models for a basic set of mechanical components has been implemented. Whis this approach, an automated setup of symbolic model equations in terms of a differentialalgebraic system of equations starting from a netlist description is possible. This allows the application of DAE solvers for numerical simulation as well as the application of symbolic model reduction methods of mechatronical systems.

: http://publica.fraunhofer.de/dokumente/N-49161.html