• DocumentCode
    2641717
  • Title

    Automated symbolic model reduction for mechatronical systems

  • Author

    Broz, Jochen ; Clauss, Christoph ; Halfmann, Thomas ; Lang, Patrick ; Martin, Roland ; Schwarz, Peter

  • Author_Institution
    Fraunhofer ITWM, Kaiserslautern
  • fYear
    2006
  • fDate
    4-6 Oct. 2006
  • Firstpage
    408
  • Lastpage
    415
  • 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 vector-type through and across variables. Additionally, a library of symbolic models for a basic set of mechanical components has been implemented. With this approach, an automated setup of symbolic model equations in terms of a differential-algebraic 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
  • Keywords
    differential algebraic equations; mathematics computing; mechanical engineering computing; mechatronics; symbol manipulation; Analog Insydes; EDA tool; automated symbolic model reduction; differential algebraic equations; mechanical components; mechatronical systems; netlist-based modelling language; Analog circuits; Analog computers; Control system synthesis; Differential equations; Electronic design automation and methodology; Libraries; Mathematical model; Nonlinear equations; Reduced order systems; Robust stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
  • Conference_Location
    Munich
  • Print_ISBN
    0-7803-9797-5
  • Electronic_ISBN
    0-7803-9797-5
  • Type

    conf

  • DOI
    10.1109/CACSD-CCA-ISIC.2006.4776681
  • Filename
    4776681