• DocumentCode
    3532331
  • Title

    Experimental identification of spatially-interconnected parameter-invariant and LPV models for actuated beams

  • Author

    Qin Liu ; Werner, Herbert

  • Author_Institution
    Inst. of Control Syst., Hamburg Univ. of Technol., Hamburg, Germany
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4122
  • Lastpage
    4127
  • Abstract
    This paper presents an experimental case study on system identification for spatially interconnected systems, considering both parameter-invariant and parameter-varying models. Considered here is the problem of vibration control for actuated beams - beams of different lengths are each equipped with an array of collocated actuators and sensors. Here we show how a spatially-interconnected model - a lumped approximation of a distributed system that lends itself to efficient, LMI-based synthesis of distributed control - for such actuated beams can be obtained experimentally. Experimental results show that a long beam with equally distributed actuators/sensors can be satisfactorily represented by a spatially invariant model. This is not possible for a short beam due to the stronger effect of boundary conditions, whereas it is demonstrated experimentally that a spatial LPV model captures the dynamic behaviour, thus enabling the synthesis of distributed spatial LPV controllers.
  • Keywords
    actuators; beams (structures); control system synthesis; distributed parameter systems; identification; interconnected systems; linear matrix inequalities; sensors; structural engineering; vibration control; LMI-based distributed control synthesis; LPV models; actuated beams; collocated actuators; collocated sensors; distributed actuators-sensors; distributed spatial LPV controller synthesis; distributed system lumped approximation; dynamic behaviour; experimental identification; parameter-varying models; spatially-interconnected parameter-invariant system; system identification; vibration control; Actuators; Boundary conditions; Interconnected systems; Sensor arrays; Sensor phenomena and characterization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760521
  • Filename
    6760521