Investigation of flight technical error for UAV separation requirement based on flight trajectory data
With the fast development of unmanned aircraft vehicle (UAV) operations in urban environments, the low-altitude air traffic is projected to be crowded. That would bring about problems such as how to determine the safe separation between two UAV operations. This paper proposes an evaluation framework...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/157182 |
| _version_ | 1811677320648327168 |
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| author | Pang, Bizhao Zhang, Mingcheng Deng, Chao Low, Kin Huat |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Pang, Bizhao Zhang, Mingcheng Deng, Chao Low, Kin Huat |
| author_sort | Pang, Bizhao |
| collection | NTU |
| description | With the fast development of unmanned aircraft vehicle (UAV) operations in urban environments, the low-altitude air traffic is projected to be crowded. That would bring about problems such as how to determine the safe separation between two UAV operations. This paper proposes an evaluation framework for the determination of flight technical error (FTE) by investigating flight trajectory deviations, which is to support the establishment of separation requirement for UAV operations. Flight experiments are conducted by using a commonly used drone to collect flight trajectory data. Statistical analysis methods are used to investigate the trajectory deviations on lateral, longitudinal, and vertical axes. The normality tests are first conducted for the trajectory deviation data. The analysis of variance (ANOVA) is then performed to test the homogeneity of sample variances, while the regression analysis is conducted to investigate potential trends of the trajectory deviations with the change of flight heights. Statistical testing results show that the mean trajectory deviation in different flight times has no significant difference, whereas the mean trajectory deviation increases with the increase of flight height. The results also show that the linear increasing trend is more evident for deviations on the lateral track, while the quadratic increasing trend of trajectory deviation dominates on the longitudinal track. The deviations on vertical track is not significant compared with the ones on lateral and longitudinal tracks. This study investigates the flight technical error by analyzing the flight trajectory deviations, which will support the determination of separation requirement for safe UAV operations in low-altitude urban airspace. |
| first_indexed | 2024-10-01T02:35:30Z |
| format | Conference Paper |
| id | ntu-10356/157182 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:35:30Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1571822022-07-27T01:51:14Z Investigation of flight technical error for UAV separation requirement based on flight trajectory data Pang, Bizhao Zhang, Mingcheng Deng, Chao Low, Kin Huat School of Mechanical and Aerospace Engineering AIAA AVIATION 2022 Forum Air Traffic Management Research Institute Engineering::Civil engineering::Transportation Air Traffic Management Unmanned Aircraft System Safe Separation Flight Technical Error With the fast development of unmanned aircraft vehicle (UAV) operations in urban environments, the low-altitude air traffic is projected to be crowded. That would bring about problems such as how to determine the safe separation between two UAV operations. This paper proposes an evaluation framework for the determination of flight technical error (FTE) by investigating flight trajectory deviations, which is to support the establishment of separation requirement for UAV operations. Flight experiments are conducted by using a commonly used drone to collect flight trajectory data. Statistical analysis methods are used to investigate the trajectory deviations on lateral, longitudinal, and vertical axes. The normality tests are first conducted for the trajectory deviation data. The analysis of variance (ANOVA) is then performed to test the homogeneity of sample variances, while the regression analysis is conducted to investigate potential trends of the trajectory deviations with the change of flight heights. Statistical testing results show that the mean trajectory deviation in different flight times has no significant difference, whereas the mean trajectory deviation increases with the increase of flight height. The results also show that the linear increasing trend is more evident for deviations on the lateral track, while the quadratic increasing trend of trajectory deviation dominates on the longitudinal track. The deviations on vertical track is not significant compared with the ones on lateral and longitudinal tracks. This study investigates the flight technical error by analyzing the flight trajectory deviations, which will support the determination of separation requirement for safe UAV operations in low-altitude urban airspace. 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. 2022-07-04T08:51:53Z 2022-07-04T08:51:53Z 2022 Conference Paper Pang, B., Zhang, M., Deng, C. & Low, K. H. (2022). Investigation of flight technical error for UAV separation requirement based on flight trajectory data. AIAA AVIATION 2022 Forum, 2022-3763-. https://dx.doi.org/10.2514/6.2022-3763 https://hdl.handle.net/10356/157182 10.2514/6.2022-3763 2022-3763 en © 2022 Nanyang Technological University. All rights reserved. This paper was published by the American Institute of Aeronautics and Astronautics, Inc. in Proceedings of AIAA AVIATION 2022 Forum and is made available with permission of Nanyang Technological University. application/pdf |
| spellingShingle | Engineering::Civil engineering::Transportation Air Traffic Management Unmanned Aircraft System Safe Separation Flight Technical Error Pang, Bizhao Zhang, Mingcheng Deng, Chao Low, Kin Huat Investigation of flight technical error for UAV separation requirement based on flight trajectory data |
| title | Investigation of flight technical error for UAV separation requirement based on flight trajectory data |
| title_full | Investigation of flight technical error for UAV separation requirement based on flight trajectory data |
| title_fullStr | Investigation of flight technical error for UAV separation requirement based on flight trajectory data |
| title_full_unstemmed | Investigation of flight technical error for UAV separation requirement based on flight trajectory data |
| title_short | Investigation of flight technical error for UAV separation requirement based on flight trajectory data |
| title_sort | investigation of flight technical error for uav separation requirement based on flight trajectory data |
| topic | Engineering::Civil engineering::Transportation Air Traffic Management Unmanned Aircraft System Safe Separation Flight Technical Error |
| url | https://hdl.handle.net/10356/157182 |
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