RISK-BASED MULTIOBJECTIVE PATH PLANNING AND DESIGN OPTIMIZATION FOR UNMANNED AERIAL VEHICLES

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dc.contributor.advisorHerrmann, Jeffrey Wen_US
dc.contributor.advisorAzarm, Shapouren_US
dc.contributor.authorRudnick-Cohen, Eliot Sylvanen_US
dc.contributor.departmentMechanical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2016-09-07T05:35:05Z
dc.date.available2016-09-07T05:35:05Z
dc.date.issued2016en_US
dc.description.abstractSafe operation of unmanned aerial vehicles (UAVs) over populated areas requires reducing the risk posed by a UAV if it crashed during its operation. We considered several types of UAV risk-based path planning problems and developed techniques for estimating the risk to third parties on the ground. The path planning problem requires making trade-offs between risk and flight time. Four optimization approaches for solving the problem were tested; a network-based approach that used a greedy algorithm to improve the original solution generated the best solutions with the least computational effort. Additionally, an approach for solving a combined design and path planning problems was developed and tested. This approach was extended to solve robust risk-based path planning problem in which uncertainty about wind conditions would affect the risk posed by a UAV.en_US
dc.identifierhttps://doi.org/10.13016/M2222Q
dc.identifier.urihttp://hdl.handle.net/1903/18666
dc.language.isoenen_US
dc.subject.pqcontrolledMechanical engineeringen_US
dc.subject.pquncontrolledDesign and Planningen_US
dc.subject.pquncontrolledDesign Optimizationen_US
dc.subject.pquncontrolledPath Planningen_US
dc.subject.pquncontrolledRisken_US
dc.subject.pquncontrolledRobust Optimizationen_US
dc.subject.pquncontrolledUAVen_US
dc.titleRISK-BASED MULTIOBJECTIVE PATH PLANNING AND DESIGN OPTIMIZATION FOR UNMANNED AERIAL VEHICLESen_US
dc.typeThesisen_US

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