Title :
Autonomous position holding and point to point flying control of quadrotor UAVs
Author :
Liu, M. ; Liu, H. ; Wei, X.
Author_Institution :
Lab. of Robot Sensors & Human-Machine Interaction, Inst. of Intell. Machines, Hefei, China
Abstract :
Position holding, also called hovering, is a key specification of rotor based aircraft. Its control problem for small quadrotor UAVs (unmanned aerial vehicles) is addressed in this paper. Given the flight dynamics of quadrotors, the P+D+DD based position holding control laws are presented. For the resultant two loop overall configuration, the outer loop controls the throttle magnitude required to reach the target position and generates the reference attitude command for the inner loop, while the inner attitude loop ensures that aircraft´s thrust is orientated to the target. The control algorithm is validated via a serial of field tests on a platform developed, including position holding and point to point navigation, showing the effectiveness of the approaches. Some implementation issues, such as translation velocity estimation, its Kalman filter design and multiple sensor data fusion are also addressed.
Keywords :
Kalman filters; aerospace navigation; attitude control; autonomous aerial vehicles; helicopters; mobile robots; position control; sensor fusion; Kalman filter design; P+D+DD based position holding control laws; autonomous position holding; hovering; inner attitude loop; multiple sensor data fusion; outer attitude loop; point to point flying control; point to point navigation; quadrotor UAVs; quadrotor unmanned aerial vehicles; rotor based aircraft; translation velocity estimation; Acceleration; Accelerometers; Attitude control; Estimation; Global Positioning System; Kalman filters; Sensors; Kalman filter; PID control; Position holding; Quadrotor UAVs; Velocity feedback;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053095