Optimization of Speed Profile with RTA Constraints under Wind Uncertainty
Four-dimensional (4D) trajectory is considered to be one of the effective means to reduce the environmental impact of aviation while increasing capacity and safety. This paper proposes an approach to optimize cruise speed profile subject to wind uncertainty, aiming to reduce the fuel burn complying...
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Hindawi Limited
2020-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/4803747 |
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doaj-49bc5da87d554799aadc7ca965cb46cb2020-11-25T03:09:20ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/48037474803747Optimization of Speed Profile with RTA Constraints under Wind UncertaintyLisha Ye0Li Cao1Shuli Gong2Jiyun Lu3College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaFour-dimensional (4D) trajectory is considered to be one of the effective means to reduce the environmental impact of aviation while increasing capacity and safety. This paper proposes an approach to optimize cruise speed profile subject to wind uncertainty, aiming to reduce the fuel burn complying with the Required Time of Arrival (RTA) constraints. The approach is based on a probabilistic framework, and the uncertainty propagation is analyzed using a Probability Transformation Method, and the probability distributions of arrival time and fuel consumption are determined. In addition, from an airborne operation perspective, transition profiles need to be considered in the reference speed optimization problem, aiming to improve the rationale of the reference trajectory. Numerical simulations are presented, and the results demonstrate that the speed profiles optimized by this method are able to meet the RTA constraints in the presence of wind uncertainty, with an average reduction of 7.04% in fuel consumption compared with that of the flight data.http://dx.doi.org/10.1155/2020/4803747 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lisha Ye Li Cao Shuli Gong Jiyun Lu |
spellingShingle |
Lisha Ye Li Cao Shuli Gong Jiyun Lu Optimization of Speed Profile with RTA Constraints under Wind Uncertainty Mathematical Problems in Engineering |
author_facet |
Lisha Ye Li Cao Shuli Gong Jiyun Lu |
author_sort |
Lisha Ye |
title |
Optimization of Speed Profile with RTA Constraints under Wind Uncertainty |
title_short |
Optimization of Speed Profile with RTA Constraints under Wind Uncertainty |
title_full |
Optimization of Speed Profile with RTA Constraints under Wind Uncertainty |
title_fullStr |
Optimization of Speed Profile with RTA Constraints under Wind Uncertainty |
title_full_unstemmed |
Optimization of Speed Profile with RTA Constraints under Wind Uncertainty |
title_sort |
optimization of speed profile with rta constraints under wind uncertainty |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2020-01-01 |
description |
Four-dimensional (4D) trajectory is considered to be one of the effective means to reduce the environmental impact of aviation while increasing capacity and safety. This paper proposes an approach to optimize cruise speed profile subject to wind uncertainty, aiming to reduce the fuel burn complying with the Required Time of Arrival (RTA) constraints. The approach is based on a probabilistic framework, and the uncertainty propagation is analyzed using a Probability Transformation Method, and the probability distributions of arrival time and fuel consumption are determined. In addition, from an airborne operation perspective, transition profiles need to be considered in the reference speed optimization problem, aiming to improve the rationale of the reference trajectory. Numerical simulations are presented, and the results demonstrate that the speed profiles optimized by this method are able to meet the RTA constraints in the presence of wind uncertainty, with an average reduction of 7.04% in fuel consumption compared with that of the flight data. |
url |
http://dx.doi.org/10.1155/2020/4803747 |
work_keys_str_mv |
AT lishaye optimizationofspeedprofilewithrtaconstraintsunderwinduncertainty AT licao optimizationofspeedprofilewithrtaconstraintsunderwinduncertainty AT shuligong optimizationofspeedprofilewithrtaconstraintsunderwinduncertainty AT jiyunlu optimizationofspeedprofilewithrtaconstraintsunderwinduncertainty |
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1715292222056824832 |