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
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;
Conference_Titel :
Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
Conference_Location :
Bursa
Print_ISBN :
978-605-01-0504-9
DOI :
10.1109/ELECO.2013.6713891