TY - JOUR
T1 - Persistent UAV service
T2 - An improved scheduling formulation and prototypes of system components
AU - Song, Byung Duk
AU - Kim, Jonghoe
AU - Kim, Jeongwoon
AU - Park, Hyorin
AU - Morrison, James R.
AU - Shim, David Hyunchul
N1 - Funding Information:
The work reported here has been supported in part by KAIST HRHRP grant N10120008 and by the National Research Foundation of Korea (NRF) Basic Science Research Program grant 2013012292.
PY - 2014/4
Y1 - 2014/4
N2 - The flight duration of unmanned aerial vehicles (UAVs) is limited by their battery or fuel capacity. As a consequence, the duration of missions that can be pursued by UAVs without supporting logistics is restricted. However, a system of UAVs that is supported by automated logistics structures, such as fuel service stations and orchestration algorithms, may pursue missions of conceivably indefinite duration. This may be accomplished by handing off the mission tasks to fully fueled replacement UAVs when the current fleet grows weary. The drained UAVs then seek replenishment from nearby logistics support facilities. To support the vision of a persistent fleet of UAVs pursuing missions across a field of operations, we develop an improved mixed integer linear programming (MILP) model that can serve to support the system's efforts to orchestrate the operations of numerous UAVs, missions and logistics facilities. Further, we look toward the future implementation of such a persistent fleet outdoors and develop prototype components required for such a system. In particular, we develop and demonstrate the concerted operation of a scheduling model, UAV onboard vision-based guidance system and replenishment stations.
AB - The flight duration of unmanned aerial vehicles (UAVs) is limited by their battery or fuel capacity. As a consequence, the duration of missions that can be pursued by UAVs without supporting logistics is restricted. However, a system of UAVs that is supported by automated logistics structures, such as fuel service stations and orchestration algorithms, may pursue missions of conceivably indefinite duration. This may be accomplished by handing off the mission tasks to fully fueled replacement UAVs when the current fleet grows weary. The drained UAVs then seek replenishment from nearby logistics support facilities. To support the vision of a persistent fleet of UAVs pursuing missions across a field of operations, we develop an improved mixed integer linear programming (MILP) model that can serve to support the system's efforts to orchestrate the operations of numerous UAVs, missions and logistics facilities. Further, we look toward the future implementation of such a persistent fleet outdoors and develop prototype components required for such a system. In particular, we develop and demonstrate the concerted operation of a scheduling model, UAV onboard vision-based guidance system and replenishment stations.
KW - Persistent UAV service
KW - Replenishment stations
KW - Scheduling for persistence
KW - Vision-based guidance systems
UR - http://www.scopus.com/inward/record.url?scp=84892812175&partnerID=8YFLogxK
U2 - 10.1007/s10846-013-9970-z
DO - 10.1007/s10846-013-9970-z
M3 - Article
AN - SCOPUS:84892812175
SN - 0921-0296
VL - 74
SP - 221
EP - 232
JO - Journal of Intelligent and Robotic Systems: Theory and Applications
JF - Journal of Intelligent and Robotic Systems: Theory and Applications
IS - 1-2
ER -