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
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