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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
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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
International Conference on Control Applications (CCA) <2006, München>
International Symposium on Computer Aided Control Systems Design (CACSD) <2006, München>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()

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.