• DocumentCode
    133171
  • Title

    Parallel feedforward design using LMI for unknown disturbance estimation of non-minimum phase system

  • Author

    Tanemura, Masaya ; Chida, Yuji ; Kobayashi, Hideo ; Hirata, Masayuki

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Shinshu Univ., Shinshu, Japan
  • fYear
    2014
  • fDate
    9-12 Sept. 2014
  • Firstpage
    1998
  • Lastpage
    2003
  • Abstract
    An unknown disturbance estimation method for non-minimum phase systems using a parallel feedforward model has been proposed. The parallel feedforward model is adopted in order to improve the estimation performance and it must ensure minimum phase property of the augmented system consisting of the plant and the parallel feedforward model. In addition, the frequency response of the parallel feedforward model must match to that of the plant. This paper derives design conditions of the parallel feedforward model as LMI conditions and designs the parallel feedforward model by solving a convex optimization problem.
  • Keywords
    convex programming; feedforward; frequency response; linear matrix inequalities; observers; LMI conditions; augmented system; convex optimization problem; disturbance observer; estimation performance; frequency response; minimum phase property; nonminimum phase systems; parallel feedforward design; unknown disturbance estimation; Educational institutions; Feedforward neural networks; Frequency estimation; Frequency response; Observers; Polynomials; KYP lemma; LMI; Parallel feedforward model; Unknown disturbance observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2014 Proceedings of the
  • Conference_Location
    Sapporo
  • Type

    conf

  • DOI
    10.1109/SICE.2014.6935313
  • Filename
    6935313