Title :
Automated multiple UAV flight - the Stanford DragonFly UAV Program
Author :
Teo, Rodney ; Jang, Jung Soon ; Tomlin, Claire J.
Author_Institution :
Dept. of Aeronaut. & Astronaut., Stanford Univ., CA, USA
Abstract :
The Stanford DragonFly Program (http://airtrafficl.stanford.edu/∼uav/) consists of two fixed wing (10-foot wingspan) autonomous aircraft, whose onboard architecture, avionics, control, and integration with wireless communications have been developed entirely at Stanford. The DragonFly platform is used as a technology testbed for research in the design of a decision-theoretic real-time operating system, and to experimentally validate hybrid control of single vehicles, and real time danger zone computation and avoidance for two automated vehicles flying in parallel. Since June 2003, we have been successfully flying the two automated DragonFly aircraft simultaneously, in dual vehicle approach patterns, and have demonstrated our automatic collision avoidance system on this platform (one aircraft ´blunders´ into the path of the second, the other invokes an ´emergency escape maneuver´ based on the relative configuration of the two aircraft). In June 2004, based on the success of our DragonFly tests, we flew our software on a Boeing test platform of two aircraft: an F-15, and a T-33 test aircraft.
Keywords :
aerospace computing; aircraft control; collision avoidance; decision theory; game theory; real-time systems; remotely operated vehicles; Boeing test platform; F-15; Stanford DragonFly UAV Program; T-33; automated multiple UAV flight; automatic colHsion avoidance system; avionics; control; decision-theoretic real-time operating system; dual vehicle approach patterns; fixed wing autonomous aircraft; hybrid control; onboard architecture; real time danger zone avoidance; real time danger zone computation; software; wireless communications; Aerospace control; Aerospace electronics; Aircraft; Automatic control; Communication system control; Computer architecture; Real time systems; Software testing; Unmanned aerial vehicles; Wireless communication;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1429422