Title :
Out-of-plane orbit estimation and tracking for aerial recovery of micro air vehicles
Author :
Carlson, Daniel C. ; Colton, Mark B.
Abstract :
Aerial recovery of autonomous micro air vehicles (MAVs) presents many unique challenges due to the difference in size and speed of the recovery vehicle and MAV. This paper presents algorithms to enable an autonomous MAV to estimate the orbit of a recovery vehicle and track the orbit until the final docking phase. Several algorithms are presented, which are shown to be robust and computationally inexpensive. Methods for estimating ellipses that are rotated out of the x-y plane are developed and demonstrated through simulation. An algorithm to enable the MAV to track the recovery vehicle´s orbit, based on the vector field approach, is also presented.
Keywords :
aerospace robotics; aircraft control; mobile robots; remotely operated vehicles; tracking; aerial recovery tracking; autonomous micro air vehicles; docking phase; out-of-plane orbit estimation; recovery vehicle; vector field approach; Aerodynamics; Aircraft propulsion; Intelligent vehicles; Mobile robots; Remotely operated vehicles; Robotics and automation; Robustness; USA Councils; Unmanned aerial vehicles; Vehicle dynamics;
Conference_Titel :
Robotics and Automation (ICRA), 2010 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4244-5038-1
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2010.5509446