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 id : |
920
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| type : |
MSc_Thesis
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| dateandtime : |
2020-01-23 15:00:00
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| duration : |
90 min.
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Recommended duration for PhD thesis is 90 minutes, for other seminar types, it is 60 minutes. The duration specified here is used to reserve the room.
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| place : |
A101
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| departmental : |
yes
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| title : |
DEVELOPMENT OF THREAT LOCATION DETECTION MODULE FOR SWARM UAV'S
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| author : |
OZAN SENYAYLA
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| supervisors : |
ASSOC.PROF.DR.EROL SAHIN
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Supervisors field is applicable especially for a Thesis Defense
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| company : |
Computer Engineering Dept. Middle East Technical Univ.
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| country : |
Turkey
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| abstract : |
Unmanned Aerial Vehicle (UAV) platforms are getting more popularity in low-altitude strike/defense systems due to their low cost, low visibility and capable of swarm intelligence. They can operate in fields which is risky for human by releasing from aircraft or carrier missile. It has three types such as fixed wings, rotary wings and hybrid which uses both. There is lack of knowledge in literature about effectiveness of unmanned aerial systems in war field due to confidentiality.
In this study, we proposed a module that can detect ground sourced strike over rotary wings aerial vehicles which have capable of swarm intelligence, and alert the rest of swarm about the location of the attacker. By the usage of this module, the rest of swarm will be informed about the possible dangers. In this concept, the module will be loosely coupled with aerial vehicle due to even if vehicle loose their integrity, module can inform the rest of swarm. In this study, mathematical model is generated from fundamental rules of physics and mathematics. Firstly, these outcomes are verified in 2D rigid body in physics simulator by an open-loop estimator. Then, 3D quadrotor dynamics and disturbance estimation techniques applied. Quadrotor simulator model used for verifying the proposed outcomes. This idea of detecting ground sourced strike/effect location detection via independent module in UAVs is unique and there is not any similar study or feasibility study about it. However, existing studies about disturbance estimation and filtering methodologies are sufficient to take know-how.
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final
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