• DocumentCode
    646417
  • Title

    Identifying second-order models of mechanical structures in physical coordinates: An orthogonal complement approach

  • Author

    Ramos, J. ; Mercere, G. ; Prot, Olivier

  • Author_Institution
    Div. of Math., Nova Southeastern Univ., Fort Lauderdale, FL, USA
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    3973
  • Lastpage
    3978
  • Abstract
    The problem of identifying the mass, damping, and stiffness matrices of a mechanical structure is a well known constrained system identification problem in the literature. The constraints come from the symmetry of the mass, damping, and stiffness matrices, as well as the number of sensors and actuators placed on the structure. Here we present two solutions to this problem, one based on a structured system identification approach and the other based on a similarity transformation approach. The latter approach takes advantage of the non-uniqueness of the problem to force the solution to a particular basis. Examples of both approaches show the feasibility of the methods, and it is expected to shed light on solving the most restrictive of the structural identification class of problems.
  • Keywords
    actuators; damping; elasticity; identification; matrix algebra; sensors; shapes (structures); actuators; constrained system identification problem; damping matrices; mass matrices; mechanical structures; orthogonal complement approach; physical coordinates; second-order model identification; sensors; similarity transformation approach; stiffness matrices; structural identification class; structured system identification approach; Actuators; Damping; Educational institutions; Equations; Mathematical model; Sensors; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2013 European
  • Conference_Location
    Zurich
  • Type

    conf

  • Filename
    6669827