Title :
Real-time dynamic trajectory smoothing for unmanned air vehicles
Author :
Anderson, Erik P. ; Beard, Randal W. ; McLain, Timothy W.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
5/1/2005 12:00:00 AM
Abstract :
This brief presents a real-time, feasible trajectory generation algorithm for unmanned air vehicles (UAVs) flying through a sequence of waypoints. The algorithm produces extremal trajectories that transition between straight-line path segments in a time-optimal fashion. In addition, the algorithm can be configured so that the dynamically feasible trajectory has the same path length as the straight-line waypoint path. Implementation issues associated with the algorithm are described in detail. Simulation studies show the effectiveness of the proposed method.
Keywords :
aerospace control; optimal control; position control; remotely operated vehicles; optimal control; path planning; real-time dynamic trajectory smoothing; straight-line waypoint path; unmanned air vehicles; Computational modeling; Military computing; Optimal control; Path planning; Remotely operated vehicles; Smoothing methods; Timing; Trajectory; Unmanned aerial vehicles; Vehicle dynamics; Autonomous systems; optimal control; path planning; trajectory generation; unmanned air vehicles (UAVs);
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2004.839555