• DocumentCode
    674818
  • Title

    State vector estimation using extended filter kalman for the sliding mode controlled quadrotor helicopter in vertical flight

  • Author

    Zeghlache, Samir ; Saigaa, Djamel ; Kara, Kamel ; Bouguerra, Abdelbaki

  • Author_Institution
    Dept. of Electron., Univ. of Msila, Ichbilia, Algeria
  • fYear
    2013
  • fDate
    28-30 Nov. 2013
  • Firstpage
    492
  • Lastpage
    496
  • Abstract
    The control of the quadrotor helicopter includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. This paper presents a control strategy for an underactuated six degrees of freedom (6 DOF) quadorotor helicopter, based on the sliding mode control (SMC). The main purpose of this work is to proposed a non linear observer based on extended kalman filter (EKF) to estimate the unmeasured states. Finally simulation results are included to indicate the quadrotor UAV with the proposed controller ensure a good tracking of a desired trajectory and remain robust to the external disturbances.
  • Keywords
    Kalman filters; autonomous aerial vehicles; control nonlinearities; helicopters; nonlinear control systems; nonlinear filters; observers; perturbation techniques; robust control; trajectory control; variable structure systems; EKF; SMC; control laws design; degrees of freedom; disturbance; extended Kalman filter; nonlinear observer; nonlinearity; perturbation; quadrotor UAV; robust controller; sliding mode controlled quadrotor helicopter; state vector estimation; trajectory tracking; uncertainty; underactuated DOF; unmeasured state estimation; vertical flight; Aerodynamics; Backstepping; Helicopters; Kalman filters; Noise; Observers; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
  • Conference_Location
    Bursa
  • Print_ISBN
    978-605-01-0504-9
  • Type

    conf

  • DOI
    10.1109/ELECO.2013.6713891
  • Filename
    6713891