Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155948
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dc.contributor.authorMohd Hasrizam Che Manen_US
dc.contributor.authorHu, Haoliangen_US
dc.contributor.authorLow, Kin Huaten_US
dc.date.accessioned2022-04-05T06:12:56Z-
dc.date.available2022-04-05T06:12:56Z-
dc.date.issued2022-
dc.identifier.citationMohd Hasrizam Che Man, Hu, H. & Low, K. H. (2022). Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures. AIAA SCITECH 2022 Forum, 2022-1506-. https://dx.doi.org/10.2514/6.2022-1506en_US
dc.identifier.isbn9781624106316-
dc.identifier.urihttps://hdl.handle.net/10356/155948-
dc.description.abstractDrones or Unmanned Aerial Vehicles (UAVs) are expected to be used for different applications like parcel delivery, inspection, and aerial photography in the urban area. However, UAVs usually uses an electric system to power up the propulsion, communications, navigation, and flight control system, which means it is not as reliable as the manned aircraft system and may result in failure during operation and then crash to the ground. At present, there is almost no publication about the high-fidelity modeling used by UAVs to calculate the crash trajectory and point of crash. The experimental data for modeling and simulation verification of multi-rotor aircraft is limited. So far, crash trajectory prediction has been limited to point mass or ballistic methods, and these methods are usually only suitable for complete power failure and without any control system. This study intends to investigate the effects of different UAV failure modes on its crash trajectory and crash area compared to the ballistic model by using ADAMS and MATLAB co-simulation methods. Conclusions from the study show the crash trajectory, flight distance and impact speed of the UAV under four failure modes, which are quite different from the ballistic trajectory. The findings can potentially contribute to better risk assessment of the multi-rotor sUAV in the urban environment operation.en_US
dc.description.sponsorshipCivil Aviation Authority of Singapore (CAAS)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.rights© 2022 The American Institute of Aeronautics and Astronautics, Inc. All rights reserved. This paper was published in Proceedings of AIAA SCITECH 2022 Forum and is made available with permission of The American Institute of Aeronautics and Astronautics, Inc.en_US
dc.subjectEngineering::Aeronautical engineering::Aircraft motors and enginesen_US
dc.subjectEngineering::Aeronautical engineering::Accidents and air safetyen_US
dc.titleCrash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failuresen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.conferenceAIAA SCITECH 2022 Forumen_US
dc.contributor.researchAir Traffic Management Research Instituteen_US
dc.identifier.doi10.2514/6.2022-1506-
dc.description.versionSubmitted/Accepted versionen_US
dc.identifier.spage2022-1506en_US
dc.subject.keywordsQuadcopter Stability and Controlen_US
dc.subject.keywordsUnmanned Aerial Vehicleen_US
dc.subject.keywordsUnpowered UAV Risk Assessmenten_US
dc.citation.conferencelocationSan Diego, CA & Virtualen_US
dc.description.acknowledgementThis research is supported by the National Research Foundation, Singapore, and the Civil Aviation Authority of Singapore, under the Aviation Transformation Programme on Unmanned Aircraft Systems (UAS) in the topic of Third-Party Risks. The support from the Air Traffic Management Research institute (ATMRI) and the School of Mechanical and Aerospace Engineering (MAE), Nanyang Technological University (NTU) is also appreciated.en_US
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