• DocumentCode
    3346523
  • Title

    Compact LFT-LPV modeling with automated parameterization for efficient LPV controller synthesis

  • Author

    Hoffmann, C. ; Werner, H.

  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    119
  • Lastpage
    124
  • Abstract
    A systematic approach to the derivation of Linear Fractional Transformation (LFT)-based Linear Parameter-Varying (LPV) representations for descriptor systems is proposed. Explicit compact rational and affine representations with full non-square parameter blocks are formulated. Based on these, LPV parameterizations of the blocks are then derived automatically via a Principle Component Analysis (PCA)-based algorithm that only requires model coefficients and allows straightforward approximation of LFT-LPV models. A two-stage multiplier approach is employed during controller synthesis, which ensues low synthesis and implementation complexity compared to standard approaches. The methodology is applied to a three-degree of freedom (3-DOF) robotic manipulator, which shows improved performance at lower implementation complexity compared to previously published results.
  • Keywords
    affine transforms; approximation theory; computational complexity; control system synthesis; linear parameter varying systems; principal component analysis; 3-DOF robotic manipulator; LFT-based LPV representation; LPV controller synthesis; LPV parameterization; PCA-based algorithm; affine representation; automated parameterization; compact LFT-LPV modeling; descriptor system; implementation complexity; linear fractional transformation-based linear parameter-varying representation; nonsquare parameter block; principle component analysis; straightforward approximation; Approximation methods; Complexity theory; Manuals; Matrix decomposition; Polynomials; Robots; Systematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7170722
  • Filename
    7170722