• DocumentCode
    183865
  • Title

    Discrete-time gain-scheduled model-matching flight controller using inexact scheduling parameters

  • Author

    Sato, Mitsuhisa

  • Author_Institution
    Inst. of Space Technol. & Aeronaut., Japan Aerosp. Exploration Agency, Mitaka, Japan
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    171
  • Lastpage
    176
  • Abstract
    This paper concerns the design problem of discrete-time gain-scheduled flight controllers for the lateral-directional motions of an airplane. In our design, equivalent airspeed is set as the scheduling parameter, but its values are affected by measurement errors due to its location (so-called “position error”) and finite resolutions. To accommodate these errors, we propose a design method for gain-scheduled controllers, in which only inexact scheduling parameters are supposed to be provided, by incorporating constant scaling matrices into an existing design method for the reduction of conservatism due to multiple uncertainty blocks in small gain theory framework. We design two gain-scheduled flight controllers, one is designed by our proposed method and the other is designed without consideration of the uncertainties. We conducted flight tests and illustrate the effectiveness of our method by comparing control performances of two controllers.
  • Keywords
    aircraft control; control system synthesis; discrete time systems; uncertain systems; airspeed; conservatism reduction; constant scaling matrices; control performance analysis; controller design problem; discrete-time gain-scheduled model-matching flight controller; finite resolutions; flight tests; inexact scheduling parameters; lateral-directional motions; measurement errors; position error; small-gain theory framework; uncertainty blocks; Atmospheric modeling; Delays; Design methodology; Iterative methods; Linear matrix inequalities; Symmetric matrices; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2014 IEEE Conference on
  • Conference_Location
    Juan Les Antibes
  • Type

    conf

  • DOI
    10.1109/CCA.2014.6981347
  • Filename
    6981347