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Swarm of UAVs: Search & Rescue Operationin Chaotic Ship Wakes
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Flight Dynamics.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A person falling of a ship can be difficult to locate since the wake behind the ship forms achaotic field, making it extremely difficult to predict the location of the victim even if thetime when they fell overboard is known. Survivability for humans immersed at sea is verydependent on the time spent in the water, and varies significantly with sea temperature; thismakes it imperative that the victim is retrieved rapidly. Our current research is aimed atreducing this time using several UAV's searching the ships wake simultaneously, as a swarm.Since the wake is chaotic, a simulation was developed to model different random motions of avictim based on a chaotic equation. Our current research is making use of an establishedsimulator environment and developing it further to investigate how different platforms mayaffect rescue time, varying on the size of the ship, the weather conditions and whether thesearch is operated during day or night. Two different search strategies were implemented inthe developed simulator; these are Expanding Square search and Parallel search. An overallconclusion based on the results obtained is that the expanding square search tends to be amore rigid and reliable search strategy. Also the results show that for any scenario, the soughtperson is detected within minutes.

Place, publisher, year, edition, pages
2014. , 72 p.
TRITA-AVE, ISSN 1651-7660 ; 2014:18
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-159282OAI: diva2:784038
Available from: 2015-01-28 Created: 2015-01-28 Last updated: 2015-01-28Bibliographically approved

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