• DocumentCode
    1764079
  • Title

    Adaptive fuzzy multi-surface sliding control of multiple-input and multiple-output autonomous flight systems

  • Author

    Norton, Michael ; Suiyang Khoo ; Kouzani, Abbas ; Stojcevski, Alex

  • Author_Institution
    Deakin Univ., Geelong, VIC, Australia
  • Volume
    9
  • Issue
    4
  • fYear
    2015
  • fDate
    2 26 2015
  • Firstpage
    587
  • Lastpage
    597
  • Abstract
    In this study, we proposed an adaptive fuzzy multi-surface sliding control (AFMSSC) for trajectory tracking of 6 degrees of freedom inertia coupled aerial vehicles with multiple inputs and multiple outputs (MIMO). It is shown that an adaptive fuzzy logic-based function approximator can be used to estimate the system uncertainties and an iterative multi-surface sliding control design can be carried out to control flight. Using AFMSSC on MIMO autonomous flight systems creates confluent control that can account for both matched and mismatched uncertainties, system disturbances and excitation in internal dynamics. It is proved that the AFMSSC system guarantees asymptotic output tracking and ultimate uniform boundedness of the tracking error. Simulation results are presented to validate the analysis.
  • Keywords
    MIMO systems; adaptive control; aerospace control; autonomous aerial vehicles; control system synthesis; function approximation; fuzzy control; iterative methods; variable structure systems; 6-degrees of freedom inertia coupled aerial vehicles; AFMSSC; AFMSSC system; MIMO autonomous flight systems; adaptive fuzzy logic-based function approximator; adaptive fuzzy multisurface sliding control; asymptotic output tracking; confluent control; internal dynamics; iterative multisurface sliding control design; matched uncertainties; mismatched uncertainties; multiple input and multiple output autonomous flight systems; system disturbances; system systems; system uncertainties; tracking error; trajectory tracking; ultimate uniform boundedness;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2014.0209
  • Filename
    7060578