Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Mission planning for unmanned aerial vehicle (UAV) teams
Download
index.pdf
Date
2014
Author
Yılgın, Serdar
Metadata
Show full item record
Item Usage Stats
269
views
89
downloads
Cite This
In recent years, use of Unmanned Aerial Vehicle (UAV) especially for reconnaissance and combat missions has become very popular in worldwide. There is no onboard human operator exists for UAVs and they are generally controlled by remote human operators. Depending on the operational environment; sometimes it becomes nearly impossible to provide optimal or an acceptable UAV – target assignment and scheduling, satisfying the constraints required to accomplish the mission, for the operators in control center. In this scheme, computer support became inevitable to be able to acquire more suitable scheduling and assignments for the missions, involving more than a few UAVs and targets, in shorter durations. In this thesis, we study different approaches for UAV mission planning problem and analyze their performances. We designed a genetic algorithm instance with customized encoding, crossover and fitness calculation that all these algorithm components are somehow related to problem domain. A brute – force and a greedy algorithm are also developed for this problem with the aim of comparison. As the result, by utilizing developed algorithms, it has become possible to evaluate effectivity and efficiency of the proposed genetic algorithm.
Subject Keywords
Drone aircraft.
,
Drone aircraft
,
Vehicles, Remotely piloted.
,
Genetic algorithms.
URI
http://etd.lib.metu.edu.tr/upload/12617944/index.pdf
https://hdl.handle.net/11511/24063
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Task assignment and scheduling in UAV mission planning with multiple constraints
Semiz, Fatih; Polat, Faruk; Department of Computer Engineering (2015)
In the recent years, unmanned aerial vehicles (UAVs) have started to be utilized as the first choice for high risk and long duration tasks, because UAVs are cheaper; they are hard to be noticed and they can perform long duration missions. Furthermore, the utilization of UAVs ensures to reduce the risk to the human life. Examples of this kind of missions includes signal collection, surveillance and reconnaissance and combat support missions. It is valuable to develop a fully autonomous UAV fleet to perform t...
Numerical and experimental analysis of a piezoelectric flat plate in flapping motion
Harputlu, Özgür; Kurtuluş, Dilek Funda; Department of Aerospace Engineering (2014)
The technology of unmanned aerial vehicles (UAV) has a rapid improvement and their use is increasing day by day for military and civilian missions. Developments in production technology enable the fabrication of micro aerial vehicles. Flapping wing systems have an important place among UAVs. These vehicles are superior to fixed wing aircrafts with their high maneuverability and hover capabilities and they can successfully perform many missions in which the fixed aircrafts are insufficient. Developments in m...
Numerical investigation of flow control strategies on delta wings
Yıldırım, Alper; Sert, Cüneyt; Department of Mechanical Engineering (2019)
The use of Unmanned Aerial Vehicles (UAV), Unmanned Combat Aerial Vehicles (UCAV) and Micro Aerial Vehicles (MAV) have been increasing in recent years. The researchers aim to understand the complex flow structure around low sweep angle delta wings, which are frequently used in such vehicles.They are also interested in controlling the flight performance of these vehicles by various active and passive means. This study involves numerical simulations of flows around a delta wing with a sweep angle of 45oat hig...
Landing autopilot design for an unmanned aerial vehicle /
Ak, Ayşe İlden; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2014)
In this thesis, studies for the development of a landing autopilot for the UAV (Unmanned Aerial Vehicle), Pioneer RQ2 are presented. Firstly, 6 DOF (degree of freedom) nonlinear model of Pioneer is implemented in Matlab-Simulink based on FDC (Flight Dynamics and Control) Toolbox. Then, in accordance with steady-state wings level flight condition, trim points are found for different airspeed values, constant height and zero flight path angle. The nonlinear model of Pioneer is linearized at these trim points ...
Real time unmanned air vehicle routing
Karabay, Nail; Köksalan, Murat; Tezcaner Öztürk, Diclehan; Department of Industrial Engineering (2018)
In this thesis, we study real-time routing of an unmanned air vehicle (UAV) in a twodimensional dynamic environment. The UAV starts from a base point, visits all targets and returns to the base point, while all targets change their locations during the mission period. We find the best route for the route planner (RP) considering two objectives; minimization of distance and minimization of radar detection threat. We develop a real-time algorithm to find the UAV’s most preferred route for a RP who has an unde...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Yılgın, “Mission planning for unmanned aerial vehicle (UAV) teams,” M.S. - Master of Science, Middle East Technical University, 2014.
