• DocumentCode
    2937395
  • Title

    Quasi-LPV modelling and non-linear identification of a Twin Rotor System

  • Author

    Nejjari, Fatiha ; Rotondo, Damiano ; Puig, Vicenç ; Innocenti, Mario

  • Author_Institution
    Adv. Control Syst. Group (SAC), Univ. Politec. de Catalunya (UPC), Terrassa, Spain
  • fYear
    2012
  • fDate
    3-6 July 2012
  • Firstpage
    229
  • Lastpage
    234
  • Abstract
    This paper describes the experimental identification of the parameters of the Twin Rotor MIMO System (TRMS) non-linear model using data collected from the real lab set-up. From this non-linear model, a quasi-linear parameter varying (quasi-LPV) model has also been derived using a state transformation. This quasi-LPV model is approximated with a polytopic model using the bounding box approach. Such a model can later be used for control design. The model parameters have been calibrated by means of non-linear least-squares identification approach. Once the calibrated non-linear model has been obtained, a simulator has been built and validated against real data showing satisfactory results when compared to real data.
  • Keywords
    MIMO systems; aircraft; control system synthesis; least squares approximations; nonlinear systems; parameter estimation; rotors; TRMS nonlinear model; bounding box approach; control design; experimental parameter identification; nonlinear identification; nonlinear least-squares identification approach; polytopic model; quasiLPV modelling; quasilinear parameter varying model; real lab set-up; state transformation; twin rotor MIMO system nonlinear model; twin rotor system; Approximation methods; Data models; MIMO; Propellers; Rotors; Transmission line measurements; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2012 20th Mediterranean Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-2530-1
  • Electronic_ISBN
    978-1-4673-2529-5
  • Type

    conf

  • DOI
    10.1109/MED.2012.6265643
  • Filename
    6265643