Title :
Tracking control for UAV trajectory
Author :
Zhang Yi ; Yang Xiuxia ; Zhao Hewei ; Zhou Weiwei
Author_Institution :
Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
An online UAV collision avoidance trajectory planning algorithm based on Pythagorean Hodograph (PH) curve is presented. To fully use the PH trajectories performance that the curvature of the curve is continuous and precisely known, the backstepping trajectory tracking control is introduced. The location and crossing heading equations were established within the Serret-Frenet coordinates. The asymptotically stable convergence crossing heading law was designed based on the error formulations. The flight experimental results show that the proposed adaptive tracking control method are effective.
Keywords :
autonomous aerial vehicles; collision avoidance; planning (artificial intelligence); tracking; trajectory control; Pythagorean Hodograph curve; Serret-Frenet coordinates; UAV trajectory; adaptive tracking control method; asymptotically stable convergence crossing heading law; backstepping trajectory tracking control; online UAV collision avoidance trajectory planning algorithm; Backstepping; Equations; Gravity; Kinematics; Mathematical model; Target tracking; Trajectory; Backstepping; PH curve; Trajectory Tracking; Unmanned Aerial Vehicle;
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
DOI :
10.1109/CGNCC.2014.7007469