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dc.contributor.advisorR. John Hansman.en_US
dc.contributor.authorList, Alexander Hoekje.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2020-03-24T15:36:40Z
dc.date.available2020-03-24T15:36:40Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/124256
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (page 79).en_US
dc.description.abstractThis study presents a means of assessing unmanned aerial vehicle (UAV) control in various environments using control margin. The metric gives an instantaneous measure of control authority and is defined by dividing required torque by maximum available torque. Required torque is the sum total of torque developed by a vehicle's rotors and residual terms representing the torque required to compensate for any remaining disturbances. The metric was demonstrated on a representative small quadrotor UAV in real world and laboratory environments. Utilizing only rotor revolutions per second and inertial measurement unit information, the metric indicates degraded control in conditions consistent with loss of control. This metric may ultimately be useful in understanding the low level wind environment, for certification of vehicles, or for real-time monitoring of control authority.en_US
dc.description.statementofresponsibilityby Alexander Hoekje List.en_US
dc.format.extent79 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleAssessing multi-rotor UAV controllability in low altitude fine-scale wind fieldsen_US
dc.title.alternativeAssessing multi-rotor unmanned aerial vehicle controllability in low altitude fine-scale wind fieldsen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1145123370en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2020-03-24T15:36:39Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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