Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/167368
Title: Ground crash area estimation of quadrotor aircraft under propulsion failure
Authors: Mohd Hasrizam Che Man
Sivakumar, Anush Kumar
Hu, Haoliang
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering::Accidents and air safety
Engineering::Aeronautical engineering::Aircraft motors and engines
Engineering::Aeronautical engineering::Flight simulation
Issue Date: 2023
Source: Mohd Hasrizam Che Man, Sivakumar, A. K., Hu, H. & Low, K. H. (2023). Ground crash area estimation of quadrotor aircraft under propulsion failure. Journal of Air Transportation. https://dx.doi.org/10.2514/1.D0320
Journal: Journal of Air Transportation 
Abstract: Small unmanned aircraft systems or drones are expected to be used for different applications, such as parcel delivery, inspection, and aerial photography, in urban areas. However, drones usually use an electric system to power up the propulsion, communications, navigation, and flight control system, which means that 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 extensive publication about the high-fidelity modeling used by drones to calculate the crash trajectory and point of crash. The experimental data for modeling and simulation verification of multirotor aircraft are 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 multirotor drones’ 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 drones under four failure modes, which are quite different from the ballistic trajectory. The findings can potentially contribute to better risk assessment of the multirotor drones for the urban environment operation.
URI: https://hdl.handle.net/10356/167368
ISSN: 2380-9450
DOI: 10.2514/1.D0320
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Air Traffic Management Research Institute 
Rights: © 2023 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. This paper was published in Journal of Air Transportation and is made available with permission of American Institute of Aeronautics and Astronautics, Inc.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Journal Articles
MAE Journal Articles

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