DocumentCode :
177241
Title :
Research of stability augmentation hybrid controller for quadrotor UAV
Author :
Qingji Gao ; Fengfa Yue ; Dandan Hu
Author_Institution :
Robot. Inst., Civil Aviation Univ. of China, Tianjin, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
5224
Lastpage :
5229
Abstract :
The design of a flight controller not only stabilizes attitude angle, but also tracks a trajectory accurately. For a quadrotor unmanned aerial vehicle (UAV) in presence of parametric uncertainties and external disturbances is more challenging. A hybrid control method based on backstepping and fuzzy adaptive PID is proposed, which improves the flight stability of quadrotor aircraft in different conditions. The method selects the current appropriate controller according to the quadrotor UAV flight condition and large attitude angle, large attitude rate. In the case of undisturbed condition, backstepping-based control algorithm can complete trajectory tracking. In case of disturbance, fuzzy adaptive PID can greatly suppress the impact of disturbance and improve the control precision. The stability augmentation hybrid controller and its performance are evaluated using a non-linear, six degree of freedom (DOF) dynamic model of a quadrotor UAV in simulate and practical experiments. The results illustrate that the stability augmentation hybrid controller can effectively realize the stability.
Keywords :
adaptive control; attitude control; autonomous aerial vehicles; control system synthesis; fuzzy control; helicopters; stability; three-term control; trajectory control; attitude angle stabilization; backstepping; backstepping-based control algorithm; external disturbances; flight controller design; flight stability; fuzzy adaptive PID; hybrid control method; parametric uncertainties; quadrotor UAV dynamic model; quadrotor UAV flight; quadrotor aircraft; quadrotor unmanned aerial vehicle; stability augmentation hybrid controller; trajectory tracking; Adaptation models; Aerodynamics; Attitude control; Backstepping; Stability analysis; Trajectory; Backstepping; Fuzzy adaptive PID; Hybrid control; Quadrotor UAV; Stability augmentation control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6853113
Filename :
6853113
Link To Document :
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