UAV collision avoidance: a specific acceleration matching approach

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dc.contributor.advisorWinberg, Simonen_ZA
dc.contributor.authorPatel, Amiren_ZA
dc.date.accessioned2015-01-06T18:41:43Z
dc.date.available2015-01-06T18:41:43Z
dc.date.issued2011en_ZA
dc.descriptionIncludes abstract.en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractAn increased level of autonomy is required for future Unmanned Aerial Vehicle (UAV) missions. One of the technologies required for this to occur is an adequate sense and avoid system to enable the UAV to detect threat aircraft and take evasive action if required. This thesis investigates a collision avoidance system to satisfy a significant portion of the requirements for sense and avoid. It was hypothesised that a recently published method of UAV guidance, Specific Acceleration Matching (SAM) Control, could address the shortcomings of the current implementations. Additionally, a novel algorithm, the Linear 3D Velocity Guidance Control Algorithm (3DVGC) was developed to address the particular requirements of UAV collision avoidance.en_ZA
dc.identifier.apacitationPatel, A. (2011). <i>UAV collision avoidance: a specific acceleration matching approach</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/11582en_ZA
dc.identifier.chicagocitationPatel, Amir. <i>"UAV collision avoidance: a specific acceleration matching approach."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2011. http://hdl.handle.net/11427/11582en_ZA
dc.identifier.citationPatel, A. 2011. UAV collision avoidance: a specific acceleration matching approach. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Patel, Amir AB - An increased level of autonomy is required for future Unmanned Aerial Vehicle (UAV) missions. One of the technologies required for this to occur is an adequate sense and avoid system to enable the UAV to detect threat aircraft and take evasive action if required. This thesis investigates a collision avoidance system to satisfy a significant portion of the requirements for sense and avoid. It was hypothesised that a recently published method of UAV guidance, Specific Acceleration Matching (SAM) Control, could address the shortcomings of the current implementations. Additionally, a novel algorithm, the Linear 3D Velocity Guidance Control Algorithm (3DVGC) was developed to address the particular requirements of UAV collision avoidance. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - UAV collision avoidance: a specific acceleration matching approach TI - UAV collision avoidance: a specific acceleration matching approach UR - http://hdl.handle.net/11427/11582 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11582
dc.identifier.vancouvercitationPatel A. UAV collision avoidance: a specific acceleration matching approach. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11582en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleUAV collision avoidance: a specific acceleration matching approachen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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