DocumentCode :
630873
Title :
Optimal trajectory for network establishment of remote UAVs
Author :
Panyakeow, Prachya ; Ran Dai ; Mesbahi, Mehran
Author_Institution :
Dept. of Aeronaut. & Astronaut., Univ. of Washington, Seattle, WA, USA
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
4623
Lastpage :
4628
Abstract :
This paper provides two approaches to establish a proximity network among a collection of unmanned aerial vehicles (UAVs) that are initially scattered in space. The goal is to find the shortest trajectories that bring the UAVs to a connected formation where they are in the range of detection of one another and headed in the same direction to maintain the connectivity. Constant-speed unicycles are chosen to represent UAV kinematics flying steady around cruising speed. Pontryagin Minimum Principle (PMP) is used to determine the control law and path synthesis for the UAVs under the turn-rate constraints. We introduce an algorithm to search for the optimal solution when the final network topology is specified; followed by a nonlinear programming method in which the final configuration is emerged from the optimization routine under the constraints that the final topology is connected. Simulation results along with the discussion on the performance of both methods are provided.
Keywords :
aerodynamics; autonomous aerial vehicles; control system synthesis; maximum principle; nonlinear programming; path planning; robot kinematics; telerobotics; topology; trajectory control; PMP; Pontryagin minimum principle; UAV kinematics; constant-speed unicycle; control law; cruising speed; network topology; nonlinear programming method; optimal solution; optimal trajectory; optimization routine; path synthesis; proximity network; remote UAV; turn-rate constraints; unmanned aerial vehicles; Laplace equations; Matrix decomposition; Optimal control; Switches; Trajectory; Vectors; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580552
Filename :
6580552
Link To Document :
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