DocumentCode :
2460269
Title :
Path planning for multiple unmanned aerial vehicles by parameterized cornu-spirals
Author :
Dai, Ran ; Cochran, John E., Jr.
Author_Institution :
Dynamics Res. Inc., Torrance, CA, USA
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
2391
Lastpage :
2396
Abstract :
In this paper, a group of cooperative planning paths for simultaneous starting and arriving Unmanned Aerial Vehicles (UAVs) are generated by parameterized Cornu-Spirals (CSs). The continuity and smoothness requirements for the designed flyable paths are achieved by the continuous curvature characteristics of CSs. The final curves are minimized in length with the least number of parameters representing the polynomial expression of the path curvature, while satisfying the maximum curvature constraints, equal length constraints, and collision avoidance constraints. The paths are integrated from initial points to final points by a trapezoidal integration algorithm. A nonlinear programming solver is used to calculate the optimized parameters. Simulation results for four simultaneous UAV paths are presented with designated initial and final positions and attitudes.
Keywords :
aircraft; collision avoidance; cooperative systems; curve fitting; nonlinear programming; remotely operated vehicles; collision avoidance constraints; continuous curvature characteristics; cooperative planning paths; designed flyable paths; equal length constraints; maximum curvature constraints; multiple unmanned aerial vehicles; nonlinear programming solver; optimized parameters; parameterized Cornu-Spirals; path curvature; path planning; polynomial expression; trapezoidal integration algorithm; Cascading style sheets; Iterative algorithms; Path planning; Polynomials; Radio access networks; Road transportation; Robots; Shape control; Unmanned aerial vehicles; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5159914
Filename :
5159914
Link To Document :
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