Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155948
Title: Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures
Authors: Mohd Hasrizam Che Man
Hu, Haoliang
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering::Aircraft motors and engines
Engineering::Aeronautical engineering::Accidents and air safety
Issue Date: 2022
Source: Mohd 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/10.2514/6.2022-1506
Abstract: Drones 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.
URI: https://hdl.handle.net/10356/155948
ISBN: 9781624106316
DOI: 10.2514/6.2022-1506
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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers
MAE Conference Papers

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