Accession Number ADA562712
Title Optimized Landing of Autonomous Unmanned Aerial Vehicle Swarms.
Publication Date Jun 2012
Media Count 83p
Personal Author T. F. Dono
Abstract This research explores a future concept requiring the efficient and safe, landing and recovery of a swarm of unmanned aerial vehicles (UAVs). The presented work involves the use of an overarching (centralized) airspace optimization model, formulated analytically as a network-based model with side constraints describing a time-expanded network model of the terminal airspace in which the UAVs navigate to one or more (possibly moving) landing zones. This model generates optimal paths in a centralized manner such that the UAVs are properly sequenced into the landing areas. The network-based model is 'grown' using agent based simulation with simple flocking rules. The resulting solution is compared to another agent-based model which uses similar avoidance rules for the landing of these UAVs, exploring the benefit of distributed computation and decision-making characteristic of swarming models. Relevant measures of performance include, e.g., the total time necessary to land the swarm. Extensive simulation studies and sensitivity analyses are conducted to demonstrate the relative effectiveness of the proposed approaches.
Keywords Avoidance
Computations
Decision making
Drones
Efficiency
Land areas
Landing fields
Recovery
Sensitivity
Solutions(General)
Swarm
Theses
Uav(Unmanned aerial vehicles)


 
Source Agency Non Paid ADAS
NTIS Subject Category 51C - Aircraft
85A - Air Transportation
Corporate Author Naval Postgraduate School, Monterey, CA.
Document Type Thesis
Title Note Master's thesis.
NTIS Issue Number 1225
Contract Number N/A

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