TY - JOUR
T1 - An operation-time simulation framework for UAV swarm configuration and mission planning
AU - Wei, Yi
AU - Brian Blake, M.
AU - Madey, Gregory R.
N1 - Funding Information:
This research was supported in part under a grant from the AFOSR Award # FA9550-11-1-0351. The authors would like to thank Christian Poellabauer, Hongsheng Lu, Rachael Purta and Ryan McCune for their contributions to the project and their suggestions to this paper.
PY - 2013
Y1 - 2013
N2 - In recent years, Unmanned Aerial Vehicles (UAV), have been increasingly utilized by both military and civilian organizations because they are less expensive, provide greater flexibilities and remove the need for on-board pilot support. Largely due to their utility and increased capabilities, in the near future, swarms of UAVs will replace single UAV use. Efficient control of swarms opens a set of new challenges, such as automatic UAV coordination, efficient swarm monitoring and dynamic mission planning. In this paper, we investigate the problem of dynamic mission planning for a UAV swarm. A centralized-distributed hybrid control framework is proposed for mission assignment and scheduling. The Dynamic Data Driven Application System (DDDAS) principles are applied to the framework so that it can adapt to the changing nature of the environment and the missions. A prototype simulation program is implemented as a proof-ofconcept of the framework. Experimentation with the framework suggests the effectiveness of swarm control for several mission planning mechanisms.
AB - In recent years, Unmanned Aerial Vehicles (UAV), have been increasingly utilized by both military and civilian organizations because they are less expensive, provide greater flexibilities and remove the need for on-board pilot support. Largely due to their utility and increased capabilities, in the near future, swarms of UAVs will replace single UAV use. Efficient control of swarms opens a set of new challenges, such as automatic UAV coordination, efficient swarm monitoring and dynamic mission planning. In this paper, we investigate the problem of dynamic mission planning for a UAV swarm. A centralized-distributed hybrid control framework is proposed for mission assignment and scheduling. The Dynamic Data Driven Application System (DDDAS) principles are applied to the framework so that it can adapt to the changing nature of the environment and the missions. A prototype simulation program is implemented as a proof-ofconcept of the framework. Experimentation with the framework suggests the effectiveness of swarm control for several mission planning mechanisms.
KW - DDDAS
KW - Mission planning
KW - Simulation framework
KW - UAV swarm
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U2 - 10.1016/j.procs.2013.05.364
DO - 10.1016/j.procs.2013.05.364
M3 - Conference article
AN - SCOPUS:84881433558
VL - 18
SP - 1949
EP - 1958
JO - Procedia Computer Science
JF - Procedia Computer Science
SN - 1877-0509
T2 - 13th Annual International Conference on Computational Science, ICCS 2013
Y2 - 5 June 2013 through 7 June 2013
ER -