• DocumentCode
    1558924
  • Title

    Reconfigurable NDI controller using inertial sensor failure detection & isolation

  • Author

    Bacon, Barton J. ; Ostroff, Aaron J. ; Joshi, Suresh M.

  • Author_Institution
    NASA Langley Res. Center, Hampton, VA, USA
  • Volume
    37
  • Issue
    4
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    1373
  • Lastpage
    1383
  • Abstract
    A modified derivation of nonlinear dynamic inversion provides the theoretical underpinnings for a reconfigurable control law for aircraft that have suffered combinations of actuator failures, missing effector surfaces, and aerodynamic changes. The approach makes use of acceleration feedback to extract information pertaining to any aerodynamic change and thus does not require a complete aerodynamic model of the aircraft. The control law does require feedback of effector positions to accommodate actuator dynamics. Both accelerometer and rate gyro failure detection and isolation (FDI) systems are implemented, allowing up to three independent failures for each FDI system as long as they are in different axes. Nonlinear simulation results show that the FDI systems improve the robustness to accelerometer/rate gyro uncertainties. An advanced tailless aircraft model is used to demonstrate the concepts. The simulation includes accelerometer and rate gyro noise and bias, failures due to accelerometers, rate gyros, and actuators, and modeled missing surfaces that cause airplane aerodynamic changes
  • Keywords
    accelerometers; aerospace simulation; aircraft control; controllers; failure analysis; feedback; gyroscopes; inertial systems; nonlinear dynamical systems; robust control; FDI system; acceleration feedback; accelerometer; actuator failure; aerodynamic change; failure detection and isolation; inertial sensor; missing effector surface; nonlinear dynamic inversion; nonlinear simulation; rate gyro; reconfigurable NDI controller; robustness; tailless aircraft model; Acceleration; Accelerometers; Actuators; Aerodynamics; Aerospace control; Aircraft; Data mining; Fault detection; Feedback; Nonlinear dynamical systems;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.976972
  • Filename
    976972