• DocumentCode
    265270
  • Title

    Fuzzy modeling and control for a nonlinear quadrotor under network environment

  • Author

    Fei Han ; Gang Feng ; Yong Wang ; Fan Zhou

  • Author_Institution
    Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2014
  • fDate
    4-7 June 2014
  • Firstpage
    395
  • Lastpage
    400
  • Abstract
    This paper considers the fuzzy modeling and H state feedback control for network-based quadrotor under unreliable communication links, and there are delays and packet dropouts throughout the transmission. The nonlinear quadrotor in this paper is firstly approximated by a Takagi-Sugeno (T-S) fuzzy model. The network-induced delays and packet dropouts in both sensor-to-controller (S/C) and controller-to-actuator (C/A) channels are modeled in a unified framework. Then a fuzzy controller is designed so that the resulting closed-loop quadrotor system is asymptotically stable with guaranteed H performance. Finally, a simulation is given to illustrated the procedure of the proposed approach.
  • Keywords
    H control; aircraft control; control system synthesis; delay systems; fuzzy control; helicopters; nonlinear control systems; state feedback; C/A channels; H∞ state feedback control; S/C channels; T-S fuzzy model; Takagi-Sugeno fuzzy model; asymptotic stability; closed-loop quadrotor system; controller-to-actuator channels; fuzzy controller design; fuzzy modeling; guaranteed H∞ performance; network environment; network-based quadrotor; network-induced delays; nonlinear quadrotor; packet dropouts; sensor-to-controller channels; transmission; unreliable communication links; Aerospace control; Aircraft; Atmospheric modeling; Closed loop systems; Computational modeling; Delays; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-3668-7
  • Type

    conf

  • DOI
    10.1109/CYBER.2014.6917496
  • Filename
    6917496