Modelling, simulation and localization of linear control for asymmetric multirotor unmanned aerial vehicles

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dc.contributor.advisorAlaiwi, Yaser
dc.contributor.authorHamad, Amer Mukhlif
dc.date.accessioned2023-08-28T10:45:05Z
dc.date.available2023-08-28T10:45:05Z
dc.date.issued2022en_US
dc.date.submitted2022
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Makine Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractAutomated airborne vehicles (UAVs) are progressively being utilized for photography, reconnaissance, planning, and examination. The control of these airplanes depends on continually checking their area by consolidating accelerometers, inertial route frameworks (INS), and satellite correspondence (GPS). The last option is ordinarily known as confinement. Sadly, a GPS-based UAV route framework is defenseless against signal disappointment or deliberate interferences. In this review, we will propose another way to deal with involving the gadget's camera for limitation, so it tends to be utilized as an elective when the satellite route framework fizzles, or potentially be effortlessly integrated into a sensor combination system. We will introduce a dream-based confinement strategy that finds a camera by first contrasting the noticed picture with an orthophoto guide and afterward limiting the camera utilizing a straightforward mathematical methodology. Utilizing the key grid, the strategy includes extending the external state of the noticed edge onto the guide picture plane. The camera geolocation is then determined utilizing a basic mathematical relationship with the edge shape. This study incorporates a prologue to picture handling as well as a numerical investigation of the issue that the undertaking plans to tackle. What's more, the proposed arrangement is introduced, trailed by a primer reenactment that looks at our fundamental outcomes to those of other notable techniques. Then, a description of the algorithm that was used to implement our method is presented, including flowcharts and explanation on its various phases.en_US
dc.identifier.citationHamad, Amer Mukhlif. (2022). Modelling, simulation and localization of linear control for asymmetric multirotor unmanned aerial vehicles. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3721
dc.identifier.yoktezid796149
dc.institutionauthorHamad, Amer Mukhlif
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectQuadrotor UAVen_US
dc.subjectImage Processing Algorithmen_US
dc.subjectClassification Algorithmen_US
dc.titleModelling, simulation and localization of linear control for asymmetric multirotor unmanned aerial vehicles
dc.typeMaster Thesis

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