Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures
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, wh...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2022
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| Online Access: | https://hdl.handle.net/10356/155948 |
| _version_ | 1826128363982422016 |
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| author | Mohd Hasrizam Che Man Hu, Haoliang Low, Kin Huat |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Mohd Hasrizam Che Man Hu, Haoliang Low, Kin Huat |
| author_sort | Mohd Hasrizam Che Man |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:23:46Z |
| format | Conference Paper |
| id | ntu-10356/155948 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:23:46Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1559482022-04-09T20:10:19Z Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures Mohd Hasrizam Che Man Hu, Haoliang Low, Kin Huat School of Mechanical and Aerospace Engineering AIAA SCITECH 2022 Forum Air Traffic Management Research Institute Engineering::Aeronautical engineering::Aircraft motors and engines Engineering::Aeronautical engineering::Accidents and air safety Quadcopter Stability and Control Unmanned Aerial Vehicle Unpowered UAV Risk Assessment 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. Civil Aviation Authority of Singapore (CAAS) National Research Foundation (NRF) Submitted/Accepted version This 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. 2022-04-05T06:12:56Z 2022-04-05T06:12:56Z 2022 Conference Paper 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 9781624106316 https://hdl.handle.net/10356/155948 10.2514/6.2022-1506 2022-1506 en © 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. application/pdf |
| spellingShingle | Engineering::Aeronautical engineering::Aircraft motors and engines Engineering::Aeronautical engineering::Accidents and air safety Quadcopter Stability and Control Unmanned Aerial Vehicle Unpowered UAV Risk Assessment Mohd Hasrizam Che Man Hu, Haoliang Low, Kin Huat Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures |
| title | Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures |
| title_full | Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures |
| title_fullStr | Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures |
| title_full_unstemmed | Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures |
| title_short | Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures |
| title_sort | crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures |
| topic | Engineering::Aeronautical engineering::Aircraft motors and engines Engineering::Aeronautical engineering::Accidents and air safety Quadcopter Stability and Control Unmanned Aerial Vehicle Unpowered UAV Risk Assessment |
| url | https://hdl.handle.net/10356/155948 |
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