• DocumentCode
    1799191
  • Title

    Longitudinal control law design for fixed-wing UAV based on multi-model technique

  • Author

    Desheng Kong ; Qingbo Geng ; Qiong Hu ; Jianbo Shao

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    18-20 Aug. 2014
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    Multi-model technique is studied and adopted for the control design for longitudinal dynamics of fixed-wing unmanned aerial vehicle (UAV) in the paper. A linear model set is built up at a number of operating points which are characterized by the different values of flight velocity and altitude, since the aerodynamics is greatly influenced by the two flight states, and a corresponding controller set for the linearized models is constructed, including discrete-time linear quadratic regulator (DLQR) as the inner loop controller for the velocity and pitch angle control and a PID controller for the altitude tracking and keeping. The switching strategy within the multi-model control scheme is put forward according to the square root of velocity and altitude. Finally, the simulation validates the efficiency of the proposed method, with the F-16 model as the controlled plant.
  • Keywords
    aerodynamics; autonomous aerial vehicles; control system synthesis; discrete time systems; linear quadratic control; pitch control (position); three-term control; velocity control; F-16 model; PID controller; aerodynamics; altitude keeping; altitude tracking; discrete-time linear quadratic regulator(DLQR); fixed-wing UAV; fixed-wing unmanned aerial vehicle; flight altitude; flight velocity; inner loop controller; linear model set; linearized models; longitudinal control law design; longitudinal dynamics; multimodel technique; pitch angle control; switching strategy; velocity control; Adaptation models; Adaptive control; Aircraft; Atmospheric modeling; Mathematical model; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2014 Fifth International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-3649-6
  • Type

    conf

  • DOI
    10.1109/ICICIP.2014.7010312
  • Filename
    7010312